The 3rd International Workshop on Intelligent Data Analysis and Management

1. Front Matter

   Pages i-x

   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

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.

• Cloud-managemenet and Service Oriented Computing
• Data Analytics
• Data Mining and Knowledge Discovery
• Modeling Data
• Transaction Management

• 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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