The 3rd International Workshop on Intelligent Data Analysis and Management

The 3rd International Workshop on Intelligent Data Analysis and Management

Description

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.

Table of contents

Front Matter....Pages i-x
An Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies....Pages 1-13
Memory-Aware Mining of Indirect Associations Over Data Streams....Pages 15-25
Graph-Based Batch Mode Active Learning....Pages 27-33
One Pass Outlier Detection for Streaming Categorical Data....Pages 35-42
Measuring of QoE for Cloud Applications....Pages 43-45
Mining Weighted Partial Periodic Patterns....Pages 47-54
Edge Selection for Degree Anonymization on K Shortest Paths....Pages 55-64
K -Neighborhood Shortest Path Privacy in the Cloud....Pages 65-75
The Framework of Information Processing Network for Supply Chain Innovation in Big Data Era....Pages 77-85
Website Navigation Recommendation Based on Reinforcement Learning Technique....Pages 87-99
An Approach for Hate Groups Detection in Facebook....Pages 101-106
Toward Crowdsourcing Data Mining....Pages 107-110
Wireless Security Analysis Using WarDrive Investigation in Kaohsiung Areas....Pages 111-121
Guanxi Buying in the Social Media Environment....Pages 123-127
Introspection of Unauthorized Sharing on Social Networking Sites....Pages 129-132

Details

  • Author: Galit Shmueli, Ron Kenett (auth.), Lorna Uden, Leon S.L. Wang, Tzung-Pei Hong, Hsin-Chang Yang, I-Hsien Ting (eds.)
  • Edition: 1
  • Publication Date: 2013
  • Publisher: Springer Netherlands
  • ISBN-13: 9789400772922, 9789400772939
  • Pages: 133
  • Format: pdf
  • Size: 4.1M
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