Social Big Data Mining
Autor Hiroshi Ishikawaen Limba Engleză Hardback – 25 mar 2015
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Specificații
ISBN-13: 9781498710930
ISBN-10: 149871093X
Pagini: 268
Ilustrații: 82 black & white illustrations, 10 colour illustrations
Dimensiuni: 156 x 234 x 20 mm
Greutate: 0.52 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
ISBN-10: 149871093X
Pagini: 268
Ilustrații: 82 black & white illustrations, 10 colour illustrations
Dimensiuni: 156 x 234 x 20 mm
Greutate: 0.52 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Locul publicării:Boca Raton, United States
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Cuprins
Social Media. Big Data and Social Data. Hypotheses in the Era of Big Data. Social Big Data Applications. Basic Concepts in Data Mining. Association Rule Mining. Clustering. Classification. Prediction. Web Structure Mining. Web Content Mining. Web Access Log Mining, Information Extraction and Deep Web Mining. Media Mining. Scalability and Outlier Detection.
Descriere
This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data applications, and scalability. It explains analytical techniques such as modeling, data mining, and multivariate analysis for social big data. This book is different from other similar books in that presents the overall picture of social big data from fundamental concepts to applications while standing on academic bases.