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Encyclopedia Of Big Data100%: Laurie A. Schintler: Encyclopedia Of Big Data (ISBN: 9783319320113) 2011, in Englisch.
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Encyclopedia of Big Data82%: Laurie A. Schintler; Connie L. McNeely: Encyclopedia of Big Data (ISBN: 9783319320106) Springer Science+Business Media, in Deutsch.
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9783319320090 - Laurie A. Schintler; Connie L. McNeely: Encyclopedia of Big Data
Laurie A. Schintler; Connie L. McNeely

Encyclopedia of Big Data (2022)

Lieferung erfolgt aus/von: Deutschland ~EN HC NW FE

ISBN: 9783319320090 bzw. 3319320092, vermutlich in Englisch, 976 Seiten, Springer International Publishing, gebundenes Buch, neu, Erstausgabe.

588,49 + Versand: 9,95 = 598,44
unverbindlich
Lieferung aus: Deutschland, Versand in 10-14 Tagen.
Buch, Hardcover, 1st ed. 2022, This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world.  Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.”  Social media and crowdsourcing platforms and various applications ― “apps” ― are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment.  The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of the day.  Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe.  Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data.  Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data.  In this context, the Encyclopedia of Big Data is being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond.  While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with this departure comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large.  With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more.  Moreover, the use of Big Data has been well established beyond the Ivory Tower.  In today’s economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions.  In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general.  Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself.Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective.  The Encyclopedia of Big Data will address this need and will be the first of such reference books to do so. Featuring some 500 entries, from "Access" to "Zillow," the Encyclopedia will serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors.  Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use.  Ultimately, the Encyclopedia of Big Data will provide a common platform and language covering the breadth and depth of the topic for different segments, sectors, and disciplines. .
2
9783319320090 - Laurie A. Schintler: Encyclopedia of Big Data (Hardcover)
Laurie A. Schintler

Encyclopedia of Big Data (Hardcover) (2022)

Lieferung erfolgt aus/von: Australien ~EN HC NW FE

ISBN: 9783319320090 bzw. 3319320092, vermutlich in Englisch, Springer International Publishing AG, Cham, gebundenes Buch, neu, Erstausgabe.

830,91 + Versand: 44,14 = 875,05
unverbindlich
Von Händler/Antiquariat, AussieBookSeller [52402892], Truganina, VIC, Australia.
Hardcover. This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as Big Data. Social media and crowdsourcing platforms and various applications apps are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment. The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of the day. Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe. Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data. Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data. In this context, the Encyclopedia of Big Data is being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond. While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with this departure comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large. With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more. Moreover, the use of Big Data has been well established beyond the Ivory Tower. In todays economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions. In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general. Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself.Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective. The Encyclopedia of Big Data will address this need and will be the first of such reference books to do so. Featuring some 500 entries, from "Access" to "Zillow," the Encyclopedia will serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors. Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use. Ultimately, the Encyclopedia of Big Data will provide a common platform and language covering the breadth and depth of the topic for different segments, se Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Books.
3
9783319320090 - Laurie A. Schintler: Encyclopedia of Big Data (Hardcover)
Laurie A. Schintler

Encyclopedia of Big Data (Hardcover) (2022)

Lieferung erfolgt aus/von: Vereinigtes Königreich Großbritannien und Nordirland ~EN HC NW FE

ISBN: 9783319320090 bzw. 3319320092, vermutlich in Englisch, Springer International Publishing AG, Cham, gebundenes Buch, neu, Erstausgabe.

763,69 + Versand: 42,99 = 806,68
unverbindlich
Von Händler/Antiquariat, CitiRetail [9235530], Stevenage, United Kingdom.
Hardcover. This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as Big Data. Social media and crowdsourcing platforms and various applications apps are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment. The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of the day. Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe. Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data. Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data. In this context, the Encyclopedia of Big Data is being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond. While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with this departure comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large. With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more. Moreover, the use of Big Data has been well established beyond the Ivory Tower. In todays economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions. In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general. Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself.Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective. The Encyclopedia of Big Data will address this need and will be the first of such reference books to do so. Featuring some 500 entries, from "Access" to "Zillow," the Encyclopedia will serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors. Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use. Ultimately, the Encyclopedia of Big Data will provide a common platform and language covering the breadth and depth of the topic for different segments, se Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Books.
4
9783319320113 - Laurie A. Schintler; Connie L. McNeely: Encyclopedia of Big Data
Laurie A. Schintler; Connie L. McNeely

Encyclopedia of Big Data

Lieferung erfolgt aus/von: Vereinigtes Königreich Großbritannien und Nordirland DE NW

ISBN: 9783319320113 bzw. 3319320114, in Deutsch, Springer Shop, neu.

971,56 ($ 1.103,50)¹
unverbindlich
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, Lagernd, zzgl. Versandkosten.
This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.” Social media and crowdsourcing platforms and various applications ― “apps” ― are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment. The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of the day. Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe. Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data. Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data. In this context, the Encyclopedia of Big Data is being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond. While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with this departure comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large. With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more. Moreover, the use of Big Data has been well established beyond the Ivory Tower. In today’s economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions. In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general. Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself. Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective. The Encyclopedia of Big Data will address this need and will be the first of such reference books to do so. Featuring some 500 entries, from "Access" to "Zillow," the Encyclopedia will serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors. Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use. Ultimately, the Encyclopedia of Big Data will provide a common platform and language covering the breadth and depth of the topic for different segments, sectors, and disciplines. Special type.
5
9783319320090 - Laurie A. Schintler; Connie L. McNeely: Encyclopedia of Big Data
Laurie A. Schintler; Connie L. McNeely

Encyclopedia of Big Data

Lieferung erfolgt aus/von: Vereinigte Staaten von Amerika DE HC NW

ISBN: 9783319320090 bzw. 3319320092, in Deutsch, Springer Shop, gebundenes Buch, neu.

883,84 ($ 999,00)¹
unverbindlich
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as “Big Data.” Social media and crowdsourcing platforms and various applications ― “apps” ― are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment. The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of the day. Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe. Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data. Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data. In this context, the Encyclopedia of Big Data is being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond. While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with this departure comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large. With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more. Moreover, the use of Big Data has been well established beyond the Ivory Tower. In today’s economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions. In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general. Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself. Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective. The Encyclopedia of Big Data will address this need and will be the first of such reference books to do so. Featuring some 500 entries, from "Access" to "Zillow," the Encyclopedia will serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors. Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use. Ultimately, the Encyclopedia of Big Data will provide a common platform and language covering the breadth and depth of the topic for different segments, sectors, and disciplines. Hard cover.
6
9783319320090 - Encyclopedia of Big Data

Encyclopedia of Big Data (2022)

Lieferung erfolgt aus/von: Deutschland ~EN HC US

ISBN: 9783319320090 bzw. 3319320092, vermutlich in Englisch, gebundenes Buch, gebraucht.

669,83
unverbindlich
Lieferung aus: Deutschland, zzgl. Versandkosten.
Von Händler/Antiquariat, MARZIES Buch- und Medienhandel, 14621 Schönwalde-Glien.
Gebunden, 1000 Seiten, 260mm x 183mm x 59mm, Sprache(n): eng Title is also available as part of a set: Encyclopedia of Big Data (978-3-319-32011-3)This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world. Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as "Big Data." Social media and crowdsourcing platforms and various applications ¿ "apps" ¿ are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment. The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of the day. Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe. Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data. Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data. In this context, the Encyclopedia of Big Data is being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond. While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with this departure comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large. With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more. Moreover, the use of Big Data has been well established beyond the Ivory Tower. In today's economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions. In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general. Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself. Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective. The Encyclopedia of Big Data will address this need and will be the first of such reference books to do so. Featuring some 500 entries, from "Access" to "Zillow, " the Encyclopedia will serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors. Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use. Ultimately, the Encyclopedia of Big Data will provide a common platform and language covering the breadth and depth of the topic for different segments, sectors, and disciplines.Laurie A. Schintler is an Associate Professor in the School of Policy, Government, and International Affairs at George Mason University. Dr. Schintler received her Ph.D.in Urban and Regional Planning at the University of Illinois at Champaign-Urbana and is a well-known computational social scientist and expert in the areas of "Big Data, " network analysis, geospatial analysis, science and technology, health and medicine, transportation, and regional science. Dr. Schintler has over 70 peer-reviewed articles, book chapters, and technical reports, as well as a co-edited book entitled New Advances in Transportation and Telecommunications Modeling: Cross-Atlantic Perspectives (2005), and numerous blog posts, invited presentations, and media appearances. She is also the recipient of a patent for "System and method for analyzing the structure of logical networks" (USPTO: 20100306372, July 2010; S. Gorman, R. Kulkarni, L. Schintler, and R. Stough). Dr. Schintler has been a Principal or Co-Principal Investigator on a number of grants from various sponsors, including the United States Department of Transportation, National Institutes of Health, Department of Homeland Security, and National Park Service, among others. She is currently an Associate Director of the Center for Study of International Medical Practices and Policies and Director of the Transportation, Policy, Operations, and Logistics Masters program at George Mason University. She teaches courses in advanced analytical methods and Big Data. Laurie Schintler is also a co-founder of the company Fortiusone (Geoiq), a geospatial data intelligence company (acquired by ESRI, Inc.). Connie L. McNeely received her Ph.D. from Stanford University in the field of Sociology and is currently Professor in the School of Policy, Government, and International Affairs at George Mason University, where she also serves as Co-Director of the Center for Science and Technology Policy. Dr. McNeely's teaching and research address various aspects of science, technology, and innovation, organizational behavior, globalization, public policy, law and governance, social theory, and culture. She also is Principal Investigator on major research projects examining national and international scientific networks and policy impacts on diversity in the science and technology workforce, and has received recognition for her work emphasizing complex data analytics, systems mapping, and model construction. Her recent work has included research in the areas of "Big Data" and data science, education, culture and innovation, and health and medical policy, with ongoing projects examining cultural and institutional dynamics and broader matters of inequality and polity participation. Moreover, in addition to new and forthcoming articles in major journals on "Big Data" and the organization of related symposia, she has been an invited speaker and participant in various workshops and conferences on the topic, and has prepared reports for public and private entities on computational scientists and exascale computing activities. She also leads a Research Group on Global Innovation in Science and Technology. Dr. McNeely has numerous publications and is active in several professional associations, serves as a reviewer and evaluator in a variety of programs and venues, and sits on several advisory boards and committees. Versandkostenfreie Lieferung massive data, data analysis, Database Management, Data Mining, Big Data Research and Development (R&D), artificial intelligence, data science, Angelegt am: 04.03.2022.
7
9783319320113 - Encyclopedia Of Big Data

Encyclopedia Of Big Data

Lieferung erfolgt aus/von: Kanada ~EN NW

ISBN: 9783319320113 bzw. 3319320114, vermutlich in Englisch, neu.

1.413,60 (C$ 2.068,95)¹
unverbindlich
Lieferung aus: Kanada, zzgl. Versandkosten.
This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world.  Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as "Big Data."  Social media and crowdsourcing platforms and various applications - ''apps" - are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment.  The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of the day.  Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe.  Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data.  Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data.  In this context, theEncyclopedia of Big Datais being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond.   While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with this departure comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large.  With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more.  Moreover, the use of Big Data has been well established beyond the Ivory Tower.  In today''s economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions.  In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general.  Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself. Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective.  TheEncyclopedia of Big Datawill address this need and will be the first of such reference books to do so. Featuring some 500 entries, from "Access" to "Zillow," theEncyclopediawill serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors.  Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use.  Ultimately, theEncyclopedia of Big Datawill provide a common platform and language covering the breadth and depth of the topic for different segments, sectors, and disciplines. .
8
9783319320113 - Laurie A. Schintler: Encyclopedia Of Big Data
Symbolbild
Laurie A. Schintler

Encyclopedia Of Big Data (2011)

Lieferung erfolgt aus/von: Kanada DE NW

ISBN: 9783319320113 bzw. 3319320114, in Deutsch, Springer-Verlag/Sci-Tech/Trade, neu.

1.335,92 (C$ 2.011,89)¹
unverbindlich
Lieferung aus: Kanada, Lagernd, zzgl. Versandkosten.
Laurie A. Schintler, Books, Business and Finance, Encyclopedia Of Big Data, This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world.  Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as "Big Data."  Social media and crowdsourcing platforms and various applications - 'apps" - are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment.  The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of the day.  Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe.  Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data.  Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data.  In this context, theEncyclopedia of Big Datais being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond.  While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with this departure comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large.  With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more.  Moreover, the use of Big Data has been well established beyond the Ivory Tower.  In today's economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions.  In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general.  Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself.Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective.  TheEncyclopedia of Big Datawill address this need and will be the first of such reference books to do so. Featuring some 500 entries, from Access to Zillow, theEncyclopediawill serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors.  Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use.  Ultimately, theEncyclopedia of Big Datawill provide a common.
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9783319320090 - Laurie A. Schintler: Encyclopedia Of Big Data
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Laurie A. Schintler

Encyclopedia Of Big Data

Lieferung erfolgt aus/von: Kanada DE NW

ISBN: 9783319320090 bzw. 3319320092, in Deutsch, Springer-Verlag/Sci-Tech/Trade, neu.

867,50 (C$ 1.308,80)¹
unverbindlich
Lieferung aus: Kanada, Lagernd, zzgl. Versandkosten.
Laurie A. Schintler, Books, Business and Finance, Encyclopedia Of Big Data, This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world.  Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as "Big Data."  Social media and crowdsourcing platforms and various applications - 'apps" - are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment.  The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of the day.  Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe.  Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data.  Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data.  In this context, theEncyclopedia of Big Datais being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond.  While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with this departure comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large.  With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more.  Moreover, the use of Big Data has been well established beyond the Ivory Tower.  In today's economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions.  In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general.  Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself.Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective.  TheEncyclopedia of Big Datawill address this need and will be the first of such reference books to do so. Featuring some 500 entries, from Access to Zillow, theEncyclopediawill serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors.  Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use.  Ultimately, theEncyclopedia of Big Datawill provide a common.
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9783319320090 - Laurie A. Schintler, Connie L. McNeely: Encyclopedia of Big Data by (English) Hardcover Book
Laurie A. Schintler, Connie L. McNeely

Encyclopedia of Big Data by (English) Hardcover Book (2022)

Lieferung erfolgt aus/von: Australien EN HC NW

ISBN: 9783319320090 bzw. 3319320092, in Englisch, gebundenes Buch, neu.

795,41 + Versand: 38,81 = 834,22
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The Nile on eBay   Encyclopedia of Big Data by Laurie A. Schintler, Connie L. McNeely This encyclopedia will be an essential resource for our times, reflecting the fact that we currently are living in an expanding data-driven world.  Technological advancements and other related trends are contributing to the production of an astoundingly large and exponentially increasing collection of data and information, referred to in popular vernacular as "Big Data."  Social media and crowdsourcing platforms and various applications "apps" are producing reams of information from the instantaneous transactions and input of millions and millions of people around the globe. The Internet-of-Things (IoT), which is expected to comprise tens of billions of objects by the end of this decade, is actively sensing real-time intelligence on nearly every aspect of our lives and environment.  The Global Positioning System (GPS) and other location-aware technologies are producing data that is specific down to particular latitude and longitude coordinates and seconds of theday.  Large-scale instruments, such as the Large Hadron Collider (LHC), are collecting massive amounts of data on our planet and even distant corners of the visible universe.  Digitization is being used to convert large collections of documents from print to digital format, giving rise to large archives of unstructured data.  Innovations in technology, in the areas of Cloud and molecular computing, Artificial Intelligence/Machine Learning, and Natural Language Processing (NLP), to name only a few, also are greatly expanding our capacity to store, manage, and process Big Data.  In this context, the Encyclopedia of Big Data is being offered in recognition of a world that is rapidly moving from gigabytes to terabytes to petabytes and beyond.   While indeed large data sets have long been around and in use in a variety of fields, the era of Big Data in which we now live departs from the past in a number of key respects and with thisdeparture comes a fresh set of challenges and opportunities that cut across and affect multiple sectors and disciplines, and the public at large.  With expanded analytical capacities at hand, Big Data is now being used for scientific inquiry and experimentation in nearly every (if not all) disciplines, from the social sciences to the humanities to the natural sciences, and more.  Moreover, the use of Big Data has been well established beyond the Ivory Tower.  In today's economy, businesses simply cannot be competitive without engaging Big Data in one way or another in support of operations, management, planning, or simply basic hiring decisions.  In all levels of government, Big Data is being used to engage citizens and to guide policy making in pursuit of the interests of the public and society in general.  Moreover, the changing nature of Big Data also raises new issues and concerns related to, for example, privacy, liability, security, access, and even the veracity of the data itself. Given the complex issues attending Big Data, there is a real need for a reference book that covers the subject from a multi-disciplinary, cross-sectoral, comprehensive, and international perspective.  The Encyclopedia of Big Data will address this need and will be the first of such reference books to do so. Featuring some 500 entries, from "Access" to "Zillow," the Encyclopedia will serve as a fundamental resource for researchers and students, for decision makers and leaders, and for business analysts and purveyors.  Developed for those in academia, industry, and government, and others with a general interest in Big Data, the encyclopedia will be aimed especially at those involved in its collection, analysis, and use.  Ultimately, the Encyclopedia of Big Data will provide a common platform and language covering the breadth and depth of the topic for different segments, sectors, and disciplines.  FORMAT Hardcover LANGUAGE English CONDITION Brand New Author Biography Laurie A. Schintler is an Associate Professor in the School of Policy, Government, and International Affairs at George Mason University. Dr. Schintler received her Ph.D.in Urban and Regional Planning at the University of Illinois at Champaign-Urbana and is a well-known computational social scientist and expert in the areas of "Big Data," network analysis, geospatial analysis, science and technology, health and medicine, transportation, and regional science. Dr. Schintler has over 70 peer-reviewed articles, book chapters, and technical reports, as well as a co-edited book entitled New Advances in Transportation and Telecommunications Modeling: Cross-Atlantic Perspectives (2005), and numerous blog posts, invited presentations, and media appearances.  She is also the recipient of a patent for "System and method for analyzing the structure of logical networks" (USPTO: 20100306372, July 2010; S. Gorman, R. Kulkarni, L. Schintler, and R. Stough).  Dr. Schintler has been a Principal or Co-Principal Investigator on a number of grants from various sponsors, including the United States Department of Transportation, National Institutes of Health, Department of Homeland Security, and National Park Service, among others. She is currently an Associate Director of the Center for Study of International Medical Practices and Policies and Director of the Transportation, Policy, Operations, and Logistics Masters program at George Mason University. She teaches courses in advanced analytical methods and Big Data. Laurie Schintler is also a co-founder of the company Fortiusone (Geoiq), a geospatial data intelligence company (acquired by ESRI, Inc.).  Connie L. McNeely received her Ph.D. from Stanford University in the field of Sociology and is currently Professor in the School of Policy, Government, and International Affairs at George Mason University, where she also serves as Co-Director of the Center for Science and Technology Policy.  Dr. McNeely's teaching and research address various aspects of science, technology, and innovation, organizational behavior, globalization, public policy, law and governance, social theory, and culture.  She also is Principal Investigator on major research projects examining national and international scientific networks and policy impacts on diversity in the science and technology workforce, and has received recognition for her work emphasizing complex data analytics, systems mapping, and model construction.  Her recent work has included research in the areas of "Big Data" and data science, education, culture and innovation, and health and medical policy, with ongoing projects examining cultural and institutional dynamics and broader matters of inequality and polity participation.  Moreover, in addition to new and forthcoming articles in major journals on "Big Data" and the organization of related symposia, she has been an invited speaker and participant in various workshops and conferences on the topic, and has prepared reports for public and private entities on computational scientists and exascale computing activities.  She also leads a Research Group on Global Innovation in Science and Technology.  Dr. McNeely has numerous publications and is active in several professional associations, serves as a reviewer and evaluator in a variety of programs and venues, and sits on several advisory boards and committees. Table of Contents Advertising Targeting.- Algorithm.- Algorithmic Accountability.- American Bar Association.- American Civil Liberties Union.- American Library Association.- Animals.- Anonymity.- Anonymization techniques.- Anthropology.- Apple.- Archaeology.- Arts.- Asian Americans Advancing Justice.- Association vs. Causation.- Astronomy.- Automated Modeling/Decision Making.- Behavioral Analytics.- Belgium.- Big Data Business Model Maturity Index.- Big Data Storytelling, Digital Storytelling.- Big Humanities Project.- Big Variety Data.- Bioinformatics.- Biomedical Data.- Biometrics.- Biosurveillance.- Blogs.- Brand Monitoring.- Business-to-Business (B2B).- Business-to-Community (B2C).- Cancer.- Cell Phone Data.- Center for National Security Studies.- Charter of Fundamental Rights (EU).- Clickstream Analytics.- Cloud Services.- Common Sense Media.- Communications.- Complex Networks.- Computational Social Sciences.- Computer Science.- Content Management System (CMS).- Content Moderation.- Correlationvs. Causation.- Criminology and Law Enforcement.- Crowdsourcing.- Cultural Analytics.- Curriculum, Higher Education, Humanities.- Curriculum, Higher Education, Social sciences.- Cyber Espionage.- Cyber Threats/Attacks.- Cybersecurity.- Data Integration.- Data Mining.- Data Model, Data Modeling.- Data Monetization.- Data Provenance.- Data Repository.- Data Science.- Data Scientist.- Data Visualization.- Data-Driven Marketing.- Data-Information-Knowledge-Action Model.- Decision Theory.- Decision Tree.- Demographic Data.- Digital Advertising Alliance.- Digital Divide.- Digital Knowledge Network Divide.- Digital Libraries.- Digital Literacy.- Digitization.- Discovery Analytics.- Diversity.- Drones.- Drug Enforcement Administration.- e-commerce.- Economics.- Education.- Education and Training.- Electronic Health Records (EHR).- Energy.- Entertainment.- Environment.- Epidemeology.- European Commission.- European Commission: Directorate-General for Justice (Data Protection Division).- European Union.- European Union Data Protection Supervisor.- Evidence-Based Medicine.- Facebook.- Facial Recognition Technologies.- Federal Bureau of Investigation (FBI).- Financial Data and Trend Prediction.- Financial Services.- Fourth Amendment.- France.- Future of Privacy.- Gender and Sexuality.- Genealogy.- Geography.- Germany.- Google.- Google Analytics.- Google Flu.- Governance.- Health Care Delivery.- Health Informatics.- HIPAA.- Human Resources Management.- Humanities (Digital Humanities).- Industrial and Commercial Bank of China.- Information Commissioner, United Kingdom.- Information Society.- Interactive Data Visualization.- International Development.- International Labor Organization.- International Nongovernmental Organizations (INGOs).- Internet.- Internet Association, The.- Internet of Things.- Italy.- Journalism.- Keystroke Capture.- Knowledge Management.- LexisNexis.- Link Prediction.- Link/Graph Mining.- LinkedIn.- Marketing/Advertising.- Mathematics.- Media.- Medicaid.- Metadata.- Military Operations, Counter-Intelligence.- Military Operations, Counter-Terrorism.- Mobile Analytics.- National Association for the Advancement of Colored People.- National Geospatial-Intelligence Agency .- National Oceanic and Atmospheric Administration.- National Organization for Women.- National Security Administration (NSA).- Netflix.- Netherlands.- Network Advertising Initiative.- Network Analytics.- Neural Networks.- Neuroscience.- NoSQL (Not Structured Query Language).- Nutrition.- Online Advertising.- Online Identity.- Ontologies.- Open Data.- Open Society Foundations.- Open-Source Software.- Organiztion of American States.- Participatory Health.- Patient Records.- Patient-Centered (Personalized) Health.- PatientsLikeMe.- Pharmaceutical Industry.- Physics.- Policy Analysis.- Political Science.- Pollution, Air.- Pollution, Land.- Pollution, Water.- Predictive Analytics.- Prevention.- Privacy.- Psychology.- Regression.- Religion.- Risk Analysis.- Robinson & Yu LLC.- R-Programming.- SalesForce.- Scientometrics.- Semantic Web.- Semantic/Content Analysis/Natural Language Process.- Semi-Structured Data.- Sentiment Analysis.- Smart Cities.- Social Media.- Social Network Analysis (SNA).- Social Sciences.- Sociology.- South Korea.- Spain.- Spatial Data.- Storage.- Supercomputing, Exascale Computing, High Performance Computing.- Supreme Court.- Tableau Software.- Telemedicine.- Text Analytics.- Transparency.- Treatment.- United Nations Educational, Scientific and Cultural Organization (UNESCO).- Visualization.- Volunteered Geographic Information (VGI).- White House Big Data Initiative.- White House Brain Initiative.- Wikileaks.- Wikipedia.- Workforce.- World Bank.- Zappos.- Zillow. Feature Presents the first comprehensive encyclopedic overview of big data Pulls together a comprehensive set of multi-disciplinary, cutting edge, traditional, and emerging issues related to big data Encompasses relevant research-based and practice-based topics Features contributions from an international array of authors from across academia, industry, and government sectors Description for Sales People Title is also available as part of a set: Encyclopedia of Big Data (978-3-319-32011-3) Details ISBN3319320092 Short Title ENCY OF BIG DATA 2017/E Language English ISBN-10 3319320092 ISBN-13 9783319320090 Media Book Format Hardcover Series Encyclopedia Of Big Data Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Edited by Connie L. McNeely Edition 1st Pages 976 Year 2022 Publication Date 2022-02-23 UK Release Date 2022-02-23 Author Connie L. McNeely Birth 1953 Affiliation Oxford Centre for Islamic Studies Position Doctor Qualifications M.D. Illustrations 37 Illustrations, color; 22 Illustrations, black and white; XXIV, 976 p. 59 illus., 37 illus. in color. Publisher Springer International Publishing AG Edition Description 1st ed. 2022 DEWEY 005.703 Audience Professional & Vocational Alternative 9783319320113 We've got thisAt The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:134893865; , Neu, Festpreisangebot, Format: Hardcover, Language: English, ISBN-13: 9783319320090, Book Title: Encyclopedia of Big Data.
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