Social Big Data Mining

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