Social Big Data Mining
eBook - PDF

Social Big Data Mining

  1. 268 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Social Big Data Mining

About this book

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.

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Yes, you can access Social Big Data Mining by Hiroshi Ishikawa in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2015
Print ISBN
9780367738426
eBook ISBN
9781498710947
Edition
1
Topic
Computer Science
Subtopic
Computer Science General
Index
Computer Science

Table of contents

  1. Front Cover
  2. Preface
  3. Contents
  4. Chapter 1 Social Media
  5. Chapter 2 Big Data and Social Data
  6. Chapter 3 Hypotheses in the Era of Big Data
  7. Chapter 4 Social Big Data Applications
  8. Chapter 5 Basic Concepts in Data Mining
  9. Chapter 6 Association Rule Mining
  10. Chapter 7 Clustering
  11. Chapter 8 Classification
  12. Chapter 9 Prediction
  13. Chapter 10 Web Structure Mining
  14. Chapter 11 Web Content Mining
  15. Chapter 12 Web Access Log Mining, Information Extraction, and Deep Web Mining
  16. Chapter 13 Media Mining
  17. Chapter 14 Scalability and Outlier Detection
  18. Appendix I Capabilities and Expertise Required for Data Scientists in the Age of Big Data
  19. Appendix II Remarks on Relationships Among Structure-, Content-, and Access Log Mining Techniques
  20. Color Plate Section
  21. Back Cover