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Social Big Data Mining 1st edition
Ishikawa, Hiroshi (Tokyo Metropolitan University, Japan)
Social Big Data Mining 1st edition
Ishikawa, Hiroshi (Tokyo Metropolitan University, Japan)
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.
200 pages, 50 black & white illustrations, 25 colour illustrations
Media | Books Hardcover Book (Book with hard spine and cover) |
Released | March 25, 2015 |
ISBN13 | 9781498710930 |
Publishers | Taylor & Francis Inc |
Pages | 268 |
Dimensions | 163 × 243 × 21 mm · 526 g |
Language | English |