9789813366541 - social big data analytics: practices, techniques, and applications di abu-salih, bilal; wongthongtham, pornpit; zhu, dengya; chan, kit yan; rudra, amit (16 risultati)
Social Big Data Analytics: Practices, Techniques, and Applications
Abu-Salih, Bilal; Wongthongtham, Pornpit; Zhu, Dengya; Chan, Kit Yan; Rudra, Amit
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Social Big Data Analytics : Practices, Techniques, and Applications
Abu-salih, Bilal; Wongthongtham, Pornpit; Zhu, Dengya; Chan, Kit Yan; Rudra, Amit
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Social Big Data Analytics : Practices, Techniques, and Applications
Abu-salih, Bilal; Wongthongtham, Pornpit; Zhu, Dengya; Chan, Kit Yan; Rudra, Amit
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Social Big Data Analytics : Practices, Techniques, and Applications
Abu-salih, Bilal; Wongthongtham, Pornpit; Zhu, Dengya; Chan, Kit Yan; Rudra, Amit
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Social Big Data Analytics: Practices, Techniques, and Applications
Abu-Salih, Bilal; Wongthongtham, Pornpit; Zhu, Dengya; Chan, Kit Yan; Rudra, Amit
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Social Big Data Analytics : Practices, Techniques, and Applications
Abu-salih, Bilal; Wongthongtham, Pornpit; Zhu, Dengya; Chan, Kit Yan; Rudra, Amit
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opini…on analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process.This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities.The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning.This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display.
Social Big Data Analytics: Practices, Techniques, and Applications
Abu-Salih, Bilal; Wongthongtham, Pornpit; Zhu, Dengya; Chan, Kit Yan; Rudra, Amit
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Taschenbuch. Condizione: Neu. Social Big Data Analytics | Practices, Techniques, and Applications | Bilal Abu-Salih (u. a.) | Taschenbuch | x | Englisch | 2022 | Springer | EAN 9789813366541 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com |…Anbieter: preigu.
Social Big Data Analytics : Practices, Techniques, and Applications
Bilal Abu-Salih, Pornpit Wongthongtham, Amit Rudra, Kit Yan Chan, Dengya Zhu
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Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opini…on analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process. This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities. The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning. This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendatio…n systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process.This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities.The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning.This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display. 228 pp. Englisch.
Social Big Data Analytics
Abu-Salih, Bilal|Wongthongtham, Pornpit|Zhu, Dengya|Chan, Kit Yan|Rudra, Amit
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2022
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Da: moluna, Greven, Germaniamoluna
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applica…tions such as personalized recommendation systems, opinion analysi.
Social Big Data Analytics: Practices, Techniques, and Applications
Abu-Salih, Bilal; Wongthongtham, Pornpit; Zhu, Dengya; Chan, Kit Yan; Rudra, Amit
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- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore Mär 2022, 2022
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation sy…stems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch.
Social Big Data Analytics: Practices, Techniques, and Applications
Abu-Salih, Bilal; Wongthongtham, Pornpit; Zhu, Dengya; Chan, Kit Yan; Rudra, Amit
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
