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© 2012

Behavior Computing

Modeling, Analysis, Mining and Decision

  • Longbing Cao
  • Philip S. Yu
  • Includes six case studies on behavior applications

  • Presents new techniques for capturing behavior characteristics in social media

  • First dedicated source of references for the theory and applications of behavior informatics and behavior computing

Book

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Behavior Modeling

    1. Front Matter
      Pages 1-1
    2. Nitin Agarwal, Shamanth Kumar, Huiji Gao, Reza Zafarani, Huan Liu
      Pages 3-19
    3. Can Wang, Longbing Cao
      Pages 21-35
    4. Prateeti Mohapatra, Howard Michel
      Pages 57-68
  3. Behavior Analysis

    1. Front Matter
      Pages 69-69
    2. Yun-Hui Hung, Jen-Wei Huang, Ming-Syan Chen
      Pages 71-89
    3. Gürdal Ertek, Murat Kaya, Cemre Kefeli, Özge Onur, Kerem Uzer
      Pages 143-163
    4. Nithin Kumar M, Vasudeva Varma
      Pages 165-175
  4. Behavior Mining

    1. Front Matter
      Pages 177-177
    2. Chih-Chieh Hung, Ling-Yin Wei, Wen-Chih Peng
      Pages 179-196
    3. Gürdal Ertek, Ayhan Demiriz, Fatih Cakmak
      Pages 197-214
    4. Joaquim Silva, Gabriel Lopes, António Falcão
      Pages 215-227
    5. Show-Jane Yen, Chia-Ching Chen, Yue-Shi Lee
      Pages 229-240
    6. Robert P. Biuk-Aghai, Yain-Whar Si, Simon Fong, Peng-Fan Yan
      Pages 241-253

About this book

Introduction

'Behavior' is an increasingly important concept in the scientific, societal, economic, cultural, political, military, living and virtual worlds. Behavior computing, or behavior informatics, consists of methodologies, techniques and practical tools for examining and interpreting behaviours in these various worlds. Behavior computing contributes to the in-depth understanding, discovery, applications and management of behavior intelligence.

With contributions from leading researchers in this emerging field Behavior Computing: Modeling, Analysis, Mining and Decision includes chapters on:

  • representation and modeling behaviors
  • behavior ontology
  • behaviour analysis
  • behaviour pattern mining
  • clustering complex behaviors
  • classification of complex behaviors
  • behaviour impact analysis
  • social behaviour analysis
  • organizational behaviour analysis
  • behaviour computing applications

Behavior Computing: Modeling, Analysis, Mining and Decision provides a dedicated source of reference for the theory and applications of behavior informatics and behavior computing. Researchers, research students and practitioners in behavior studies, including computer science, behavioral science, and social science communities will find this state of the art volume invaluable. 

Keywords

Behavior Impact Analysis Behavior Network Analysis Behavior Pattern Analysis Behavior Relation Analysis Behavior Representation

Editors and affiliations

  • Longbing Cao
    • 1
  • Philip S. Yu
    • 2
  1. 1.Advanced Analytics InstituteUniversity of TechnologyUltimo, SydneyAustralia
  2. 2.Department of Computer ScienceUniversity of IllinoisChicagoUSA

Bibliographic information

Reviews

Jair Merlo, Accenture, São Paulo, Brazil

Excerpts from full review posted Oct 12 2012 to Computing Reviews [Review #: CR140595 (1302-0087)]

...In spite of the spectrum of subjects and diversity of authors, the book’s editors have been extremely successful in providing coherent and integrated content...

After a thorough depiction of the theoretical state of the art in behavior modeling, chapter 4 offers a gold mine for practitioners: a semi-Markovian algorithm for user behavior analysis that is very easy to grasp, even for novices, and implemented in ActiveX...

Part 4 continues to explore applications of behavior computing with a plethora of diverse cases that illustrate the importance of this novice discipline.

The book provides valuable knowledge for both academia and industry.