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[Lecture Notes in Computer Science] Advances in Knowledge Discovery and Data Mining Volume 6635 || Margin-Based Over-Sampling Method for Learning from Imbalanced Datasets

✍ Scribed by Huang, Joshua Zhexue; Cao, Longbing; Srivastava, Jaideep

Book ID: 121696668
Publisher: Springer Berlin Heidelberg
Year: 2011
Tongue: English
Weight: 328 KB
Edition: 1
Category: Article
ISBN: 3642208479
DOI: 10.1007/978-3-642-20847-8_26

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✦ Synopsis

The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected from 331 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knowledge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.

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