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Behavior Engineering and Applications

  • Book
  • © 2018

Overview

Editors:
  1. Raymond Wong

    1. School of Computer Science and Engineering, University of New South Wales, Sydney, Australia

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  2. Chi-Hung Chi

    1. CSIRO, Hobart, Australia

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  3. Patrick C. K. Hung

    1. Faculty of Business and Information Technology, University of Ontario Institute of Technology, Oshawa, Canada

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  • Treats the topic of behavior engineering in a new way, from the perspectives of social networking and multi-media technologies
  • Crystallizes emerging behavior engineering technologies and trends to understand current research and practical issues
  • Breaks new ground in Artificial Intelligence through advances in the understanding of intelligent human behavior, going past non-human like AI and just mimicking several narrow features of human intelligence

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-viii
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  2. Benchmarking Swarm Rebalancing Algorithm for Relieving Imbalanced Machine Learning Problems

    • Jinyan Li, Simon Fong
    Pages 1-40

  3. Performance Evaluation of Shadow Features as a Data Preprocessing Method in Data Mining for Human Activities Recognitions

    • Simon Fong, Shimin Hu, Ni Ren, Wei Song, Kyungeun Cho, Raymond Wong et al.
    Pages 41-66

  4. Fast Plagiarism Detection Using Approximate String Matching and Vector Representation of Words

    • Kensuke Baba
    Pages 67-79

  5. A Psychologically-Realistic Personality Model for Virtual Agents

    • Curtis L. Gittens
    Pages 81-99

  6. Online Impulse Buying: An Investigation into Consumer Decision Making

    • Arunima Rana
    Pages 101-128

  7. eHealth Consumer Behavior

    • Md. Nazmul Hossain, Hiroshi Okajima, Hironobu Kitaoka, Fumihiko Yokota, Ashir Ahmed
    Pages 129-147

  8. Guiding Usability Newcomers to Understand the Context of Use: Towards Models of Collaborative Heuristic Evaluation

    • André de Lima Salgado, Flávia de Souza Santos, Renata Pontin de Mattos Fortes, Patrick C. K. Hung
    Pages 149-168

  9. Forecasting China Future MNP by Deep Learning

    • Shimin Hu, Mengyu Liu, Simon Fong, Wei Song, Nilanjan Dey, Raymond Wong
    Pages 169-210

  10. Gender Differences in Affective Response Toward Pictorials: Affective Warning Pictorials on Cigarette Label

    • Arisara Jiamsanguanwong, Pat-Arin Chanduen
    Pages 211-222

  11. A Web-Based System with Spatial Clustering to Observe the Changes of Emergency Distribution Using Social Big Data

    • Yilang Wu, Junbo Wang
    Pages 223-240
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Keywords

About this book

Many industrial applications built today are increasingly using emerging behavior engineering technologies: this book looks at various research and practical issues  for researchers and students working in computer science and engineering, and for industry technology providers interested in behavior engineering and applications. Behavior Engineering and Applications encompasses intelligent and efficient computational solutions, including models, architectures, algorithms and specific applications, focused on processing, discovering, understanding and analyzing the behavior captured by the above data. Focusing on applying any engineering paradigm to systemically process, discover, understand and analyze these data, this book also addresses problems in a variety of areas and applications that related to behavior engineering.

This book includes chapters derived from selected papers from The 2016 International Conference on Behavior Engineering (ICBE), as well as separate contributions the editors selected cutting-edge research related to behavior engineering.



Editors and Affiliations

  • School of Computer Science and Engineering, University of New South Wales, Sydney, Australia

    Raymond Wong

  • CSIRO, Hobart, Australia

    Chi-Hung Chi

  • Faculty of Business and Information Technology, University of Ontario Institute of Technology, Oshawa, Canada

    Patrick C. K. Hung

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