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The 3rd International Workshop on Intelligent Data Analysis and Management

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Cover of 'The 3rd International Workshop on Intelligent Data Analysis and Management'

Table of Contents

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    Book Overview
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    Chapter 1 An Information Quality (InfoQ) Framework for Ex-Ante and Ex-Post Evaluation of Empirical Studies
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    Chapter 2 Memory-Aware Mining of Indirect Associations Over Data Streams
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    Chapter 3 Graph-Based Batch Mode Active Learning
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    Chapter 4 One Pass Outlier Detection for Streaming Categorical Data
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    Chapter 5 Measuring of QoE for Cloud Applications
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    Chapter 6 Mining Weighted Partial Periodic Patterns
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    Chapter 7 Edge Selection for Degree Anonymization on K Shortest Paths
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    Chapter 8 K-Neighborhood Shortest Path Privacy in the Cloud
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    Chapter 9 The Framework of Information Processing Network for Supply Chain Innovation in Big Data Era
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    Chapter 10 Website Navigation Recommendation Based on Reinforcement Learning Technique
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    Chapter 11 An Approach for Hate Groups Detection in Facebook
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    Chapter 12 Toward Crowdsourcing Data Mining
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    Chapter 13 Wireless Security Analysis Using WarDrive Investigation in Kaohsiung Areas
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    Chapter 14 Guanxi Buying in the Social Media Environment
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    Chapter 15 Introspection of Unauthorized Sharing on Social Networking Sites
Attention for Chapter 3: Graph-Based Batch Mode Active Learning
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Summary
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Chapter title
Graph-Based Batch Mode Active Learning
Chapter number 3
Book title
The 3rd International Workshop on Intelligent Data Analysis and Management
Published by
Springer, Dordrecht, January 2013
DOI 10.1007/978-94-007-7293-9_3
Book ISBNs
978-9-40-077292-2, 978-9-40-077293-9
Authors

Cheong Hee Park

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