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KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 4 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
16 years 4 months ago
Camouflaged fraud detection in domains with complex relationships
We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounti...
Sankar Virdhagriswaran, Gordon Dakin
148
Voted
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
16 years 4 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
157
Voted
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 4 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
VLSID
2001
IEEE
184views VLSI» more  VLSID 2001»
16 years 4 months ago
Battery Life Estimation of Mobile Embedded Systems
Since battery life directly impacts the extent and duration of mobility, one of the key considerations in the design of a mobile embedded system should be to maximize the energy d...
Debashis Panigrahi, Sujit Dey, Ramesh R. Rao, Kani...
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