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Social big data mining
Author
Title
Social big data mining / Hiroshi Ishikawa.
ISBN
9781498710947
1498710948
9781498710930
149871093X
9781336194120
133619412X
Publication
Boca Raton : CRC Press, an imprint of Taylor & Francis Group, [2015]
Copyright Notice Date
©2015
Physical Description
1 online resource (vi, 260 pages) : color illustrations
Local Notes
Access is available to the Yale community.
Notes
"A science publishers book."
Access and use
Access restricted by licensing agreement.
Summary
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 whi ...
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version: Ishikawa, Hiroshi. Social big data mining. Boca Raton : CRC Press, an imprint of Taylor & Francis Group, [2015]
Format
Books / Online
Language
English
Added to Catalog
February 27, 2024
Bibliography
Includes bibliographical references.
Contents
1. Social media
2. Big data and social data
3. Hyptheses in the era of big data
4. Social big data applications
5. Basic concepts in data mining
6. Association rule mining
7. Clustering
8. Classification
9. Prediction
10. Web structure mining
11. Web content mining
12. Web access log mining, information extraction, and deep web mining
13. Media mining
14. Scalability and outlier detection.
Subjects
Genre/Form
dissertations.
Academic theses
Academic theses.
Bookmark As
Citation
