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Social Computing with Artificial Intelligence

Social Computing with Artificial Intelligence


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About the Book

Chapter 1. Introduction.- Chapter 2. Data Collection.- Chapter 3. Data Processing Methodology.- Chapter 4. Supervised and Unsupervised Learning Models.- Chapter 5. State-of-the-Art Artificial Intelligence Algorithms.- Chapter 6. Social Network Data Mining and Knowledge Discovery.- Chapter 7. Social Network Structure Analysis and Online Community Discovery.- Chapter 8. Social Network Propagation Mechanism and Online User Behavior Analysis.- Chapter 9. Social Computing Application in Public Security and Emergency Management.- Chapter 10. Social Computing Application in Business Decision Support.- Chapter 11. Social Computing Application in Unsupervised Oracle Handwriting Recognition Based on Pic2Vec Image Content Mapping.- Chapter 12. Social Computing Application in Online Crowd Behavior and Psychology.

About the Author: Xun Liang is a Professor at Renmin University of China. He is the chief expert of a major National Social Science Foundation project, and the leader of a key National Natural Science Foundation of China project. He has been engaged in research on network information mining, social computing and machine learning for many years, and has published more than 200 papers and 14 specialized books, and has applied for more than 10 national invention patents, one international patent and one American patent. He also serves as chairman of the procedural committees of national and international conferences and as a special invited theme presenter.


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Product Details
  • ISBN-13: 9789811577628
  • Publisher: Springer Verlag, Singapore
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 480 gr
  • ISBN-10: 9811577625
  • Publisher Date: 18 Sep 2021
  • Height: 234 mm
  • No of Pages: 304
  • Spine Width: 16 mm
  • Width: 156 mm


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