Bangkok, Thailand
Workshop Schedule
8:00-8:35:
OPENING REMARKS, Nitesh Chawla and Zhi-Hua Zhou
8:35-9:25:
KEYNOTE TALK, Charles Ling
9:25-10:10: Session 1: Theoretical and Empircal Studies
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9:25-9:40:
Cheng G. Weng and Josiah Poon,
Data Complexity Analysis for
Imbalanced Datasets
- 9:40-9:55:
William Klement, Szymon Wilk, Wojtek Michaowski, and Stan Matwin
Dealing with Severely Imbalanced Data
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9:55-10:10:
Xu-Ying Liu and Zhi-Hua Zhou,
Learning with Cost Intervals
10:10-10:30: Coffee Break
10:30-11:30: Session 2: Applications in Imbalance
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10:30-10:45:
Kuo-Wei Hsu and Jaideep Srivastava,
An Empirical Study of
Applying Ensembles of Heterogeneous Classifiers on Imperfect Data
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10:45-11:00:
En-hui Zheng, Chao Zou, Jian Sun, and Le Chen,
SVM based Credit
Card Fraud Detection with Reject Cost and Class-dependent Error Cost
-
11:00-11:15:
Sareewan Dendamrongvit and Miroslav Kubat
Imbalanced
Training Sets and Induction from Multi-Label Text-Categorization
Domains
-
11:15-11:30:
Edisanter Lo
Outlier Detection in Hyperspectral Imaging
Based on Conditional Subspace Models
11:30-12:00: Session 3: Mining Streams of Imbalanced Data
- 11:30-11:45:
Ryan Lichtenwalter and Nitesh Chawla,
Adaptive Methods for
Classification in Arbitrarily Imbalanced and Drifting Data Streams
- 11:30-12:00:
Yi Wang, Yang Zhang, and Yong Wang,
Classifier Ensemble for Mining Data Streams with
Skewed Distribution
12:00-12:30:
DISCUSSION AND CONCLUSION, Nitesh Chawla and Zhi-Hua Zhou