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The 3rd International Workshop on Intelligent Data Analysis and Management

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Lorna Uden

    1. School of Computing, Staffordshire University, Stafford, United Kingdom

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  2. Leon S.L. Wang

    1. Dean of College of Management, National University of Kaohsiung, Kaohsiung, Taiwan

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  3. Tzung-Pei Hong

    1. Information Engineering, National University of Kaohsiung Dept. Computer Science &, Kaohsiung, Nan-Tzu District, Taiwan

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  4. Hsin-Chang Yang

    1. National University of Kaohsiung, Kaohsiung, Taiwan

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  5. I-Hsien Ting

    1. National University of Kaohsiung Dept. Information Management, Kaohsiung, Nan-Tzu District, Taiwan

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  • Provides useful and practical approaches to modeling, analyzing and cleaning data
  • Showcases the most current methods in data analysis in multiple fields of research
  • Reflects recent research in this interdisciplinary field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Proceedings in Complexity (SPCOM)

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Table of contents (15 papers)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. An Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies

    • Galit Shmueli, Ron Kenett
    Pages 1-13

  3. Memory-Aware Mining of Indirect Associations Over Data Streams

    • Wen-Yang Lin, Shun-Fa Yang, Tzung-Pei Hong
    Pages 15-25

  4. Graph-Based Batch Mode Active Learning

    • Cheong Hee Park
    Pages 27-33

  5. One Pass Outlier Detection for Streaming Categorical Data

    • Swee Chuan Tan, Si Hao Yip, Ashfaqur Rahman
    Pages 35-42

  6. Measuring of QoE for Cloud Applications

    • Yu-Hui Tao, Yu-Lung Wu, Chi-Jui Chang, Chi-Wen Chang
    Pages 43-45

  7. Mining Weighted Partial Periodic Patterns

    • Kung-Jiuan Yang, Tzung-Pei Hong, Yuh-Min Chen, Guo-Cheng Lan
    Pages 47-54

  8. Edge Selection for Degree Anonymization on K Shortest Paths

    • Shyue-Liang Wang, Ching-Chuan Shih, I-Hsien Ting, Tzung-Pei Hong
    Pages 55-64

  9. K-Neighborhood Shortest Path Privacy in the Cloud

    • Shyue-Liang Wang, Jia-Wei Chen, I-Hsien Ting, Tzung-Pei Hong
    Pages 65-75

  10. The Framework of Information Processing Network for Supply Chain Innovation in Big Data Era

    • Chian-Hsueng Chao
    Pages 77-85

  11. Website Navigation Recommendation Based on Reinforcement Learning Technique

    • Yin-Ling Tang, I-Hsien Ting, Shyue-Liang Wang
    Pages 87-99

  12. An Approach for Hate Groups Detection in Facebook

    • I-Hsien Ting, Hsing-Miao Chi, Jyun-Sing Wu, Shyue-Liang Wang
    Pages 101-106

  13. Toward Crowdsourcing Data Mining

    • Hsin-Chang Yang, Chung-Hong Lee
    Pages 107-110

  14. Wireless Security Analysis Using WarDrive Investigation in Kaohsiung Areas

    • Hanwei Hsiao, Tienhe Chang, ChihChe Chang
    Pages 111-121

  15. Guanxi Buying in the Social Media Environment

    • Cathy S. Lin, Shin Yan Lu
    Pages 123-127

  16. Introspection of Unauthorized Sharing on Social Networking Sites

    • Cathy S. Lin, Ting-Yi Lin
    Pages 129-132
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Keywords

About this book

These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc.

Editors and Affiliations

  • School of Computing, Staffordshire University, Stafford, United Kingdom

    Lorna Uden

  • Dean of College of Management, National University of Kaohsiung, Kaohsiung, Taiwan

    Leon S.L. Wang

  • Information Engineering, National University of Kaohsiung Dept. Computer Science &, Kaohsiung, Nan-Tzu District, Taiwan

    Tzung-Pei Hong

  • National University of Kaohsiung, Kaohsiung, Taiwan

    Hsin-Chang Yang

  • National University of Kaohsiung Dept. Information Management, Kaohsiung, Nan-Tzu District, Taiwan

    I-Hsien Ting

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