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ICDM
2010
IEEE
185views Data Mining» more  ICDM 2010»
15 years 18 days ago
Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
Kee Siong Ng, Yin Shan, D. Wayne Murray, Alison Su...
KDD
2005
ACM
146views Data Mining» more  KDD 2005»
16 years 3 months ago
Anonymity-preserving data collection
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in in...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright
88
Voted
ICDM
2007
IEEE
103views Data Mining» more  ICDM 2007»
15 years 9 months ago
Mechanism Design for Clustering Aggregation by Selfish Systems
We propose a market mechanism that can be implemented on clustering aggregation problem among selfish systems, which tend to lie about their correct clustering during aggregation ...
Pinata Winoto, Yiu-ming Cheung, Jiming Liu
112
Voted
PAKDD
1999
ACM
87views Data Mining» more  PAKDD 1999»
15 years 6 months ago
On Information-Theoretic Measures of Attribute Importance
Abstract. An attribute is deemed important in data mining if it partitions the database such that previously unknown regularities are observable. Many information-theoretic measure...
Yiyu Yao, S. K. Michael Wong, Cory J. Butz
135
Voted
SDM
2008
SIAM
158views Data Mining» more  SDM 2008»
15 years 4 months ago
Similarity Measures for Categorical Data: A Comparative Evaluation
Measuring similarity or distance between two entities is a key step for several data mining and knowledge discovery tasks. The notion of similarity for continuous data is relative...
Shyam Boriah, Varun Chandola, Vipin Kumar