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Social Big Data Mining
Hiroshi Ishikawa
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 | Boeken Hardcover Book (Boek met harde rug en kaft) |
| Vrijgegeven | 25 maart 2015 |
| ISBN13 | 9781498710930 |
| Uitgevers | Taylor & Francis Inc |
| Pagina's | 268 |
| Afmetingen | 163 × 243 × 21 mm · 526 g |
| Taal en grammatica | Engels |
![Cover for Hiroshi Ishikawa · Hypothesis Generation and Interpretation: Design Principles and Patterns for Big Data Applications - Studies in Big Data (Hardcover Book) [2024 edition] (2024)](https://imusic.b-cdn.net/images/item/original/393/9783031435393.jpg?hiroshi-ishikawa-2024-hypothesis-generation-and-interpretation-design-principles-and-patterns-for-big-data-applications-studies-in-big-data-hardcover-book&class=scaled&v=1750192858)
