Title: Social Big Data Mining Author: Hiroshi Ishikawa Length: 200 pages Edition: 1 Language: English Publisher: CRC Press Publication Date: 2015-03-15 ISBN-10: 149871093X ISBN-13: 9781498710930 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. Table of Contents Chapter 1 Social Media Chapter 2 Big Data and Social Data Chapter 3 Hypotheses in the Era of Big Data Chapter 4 Social Big Data Applications Chapter 5 Basic Concepts in Data Mining Chapter 6 Association Rule Mining Chapter 7 Clustering Chapter 8 Classification Chapter 9 Prediction Chapter 10 Web Structure Mining Chapter 11 Web Content Mining Chapter 12 Web Access Log Mining, Information Extraction, and Deep Web Mining Chapter 13 Media Mining Chapter 14 Scalability and Outlier Detection Appendix I Capabilities and Expertise Required for Data Scientists in the Age of Big Data Appendix II Remarks on Relationships Among Structure-, Content-, and Access Log Mining Techniques
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