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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation (Lecture Notes in Social Networks) - Tapa dura
Libro 39 de 45: Lecture Notes in Social Networks
Sinopsis
This book focusses on recommendation, behavior, and anomaly, among of social media analysis. First, recommendation is vital for a variety of applications to narrow down the search space and to better guide people towards educated and personalized alternatives. In this context, the book covers supporting students, food venue, friend and paper recommendation to demonstrate the power of social media data analysis. Secondly, this book treats behavior analysis and understanding as important for a variety of applications, including inspiring behavior from discussion platforms, determining user choices, detecting following patterns, crowd behavior modeling for emergency evacuation, tracking community structure, etc. Third, fraud and anomaly detection have been well tackled based on social media analysis. This has is illustrated in this book by identifying anomalous nodes in a network, chasing undetected fraud processes, discovering hidden knowledge, detecting clickbait, etc. With this wide coverage, the book forms a good source for practitioners and researchers, including instructors and students.
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De la contraportada
This book focusses on recommendation, behavior, and anomaly, among of social media analysis. First, recommendation is vital for a variety of applications to narrow down the search space and to better guide people towards educated and personalized alternatives. In this context, the book covers supporting students, food venue, friend and paper recommendation to demonstrate the power of social media data analysis. Secondly, this book treats behavior analysis and understanding as important for a variety of applications, including inspiring behavior from discussion platforms, determining user choices, detecting following patterns, crowd behavior modeling for emergency evacuation, tracking community structure, etc. Third, fraud and anomaly detection have been well tackled based on social media analysis. This has is illustrated in this book by identifying anomalous nodes in a network, chasing undetected fraud processes, discovering hidden knowledge, detecting clickbait, etc. With this wide coverage, the book forms a good source for practitioners and researchers, including instructors and students.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation (eng)
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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation
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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation
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Springer International Publishing Dez 2019, 2019
ISBN 10: 3030336972
ISBN 13: 9783030336974
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focusses on recommendation, behavior, and anomaly, among of social media analysis. First, recommendation is vital for a variety of applications to narrow down the search space and to better guide people towards educated and personalized alternatives. In this context, the book covers supporting students, food venue, friend and paper recommendation to demonstrate the power of social media data analysis. Secondly, this book treats behavior analysis and understanding as important for a variety of applications, including inspiring behavior from discussion platforms, determining user choices, detecting following patterns, crowd behavior modeling for emergency evacuation, tracking community structure, etc. Third, fraud and anomaly detection have been well tackled based on social media analysis. This has is illustrated in this book by identifying anomalous nodes in a network, chasing undetected fraud processes, discovering hidden knowledge, detecting clickbait, etc. With this wide coverage, the book forms a good source for practitioners and researchers, including instructors and students. 252 pp. Englisch. Nº de ref. del artículo: 9783030336974
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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation
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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation
Publicado por
Springer International Publishing, 2019
ISBN 10: 3030336972
ISBN 13: 9783030336974
Nuevo
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Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Demonstrates the power of social media data analysisFeatures behavior analysis and understanding as important for a variety of applicationsForms a good source for practitioners and researchers, including ins. Nº de ref. del artículo: 448679447
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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation
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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation (Lecture Notes in Social Networks)
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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation
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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focusses on recommendation, behavior, and anomaly, among of social media analysis. First, recommendation is vital for a variety of applications to narrow down the search space and to better guide people towards educated and personalized alternatives. In this context, the book covers supporting students, food venue, friend and paper recommendation to demonstrate the power of social media data analysis. Secondly, this book treats behavior analysis and understanding as important for a variety of applications, including inspiring behavior from discussion platforms, determining user choices, detecting following patterns, crowd behavior modeling for emergency evacuation, tracking community structure, etc. Third, fraud and anomaly detection have been well tackled based on social media analysis. This has is illustrated in this book by identifying anomalous nodes in a network, chasing undetected fraud processes, discovering hidden knowledge, detecting clickbait, etc. With this widecoverage, the book forms a good source for practitioners and researchers, including instructors and students. Nº de ref. del artículo: 9783030336974
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Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation (Lecture Notes in Social Networks)
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