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kaya mehmet (curatore); birinci suayip (curatore); kawash jalal (curatore); alhajj reda (curatore) - putting social media and networking data in practice for education, planning, prediction and recommendation

Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 12/2020
Edizione: 1st ed. 2020





Trama

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.





Sommario

Chapter1: 










Altre Informazioni

ISBN:

9783030337001

Condizione: Nuovo
Collana: Lecture Notes in Social Networks
Dimensioni: 235 x 155 mm Ø 454 gr
Formato: Brossura
Illustration Notes:XIII, 237 p. 68 illus., 51 illus. in color.
Pagine Arabe: 237
Pagine Romane: xiii


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