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KDD
2003
ACM
127views Data Mining» more  KDD 2003»
16 years 6 months ago
Experiments with random projections for machine learning
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
Dmitriy Fradkin, David Madigan
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
16 years 6 months ago
Towards NIC-based intrusion detection
We present and evaluate a NIC-based network intrusion detection system. Intrusion detection at the NIC makes the system potentially tamper-proof and is naturally extensible to wor...
Matthew Eric Otey, Srinivasan Parthasarathy, Amol ...
KDD
2002
ACM
108views Data Mining» more  KDD 2002»
16 years 6 months ago
Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
George Forman
KDD
2002
ACM
122views Data Mining» more  KDD 2002»
16 years 6 months ago
Customer lifetime value modeling and its use for customer retention planning
We present and discuss the important business problem of estimating the effect of retention efforts on the Lifetime Value of a customer in the Telecommunications industry. We disc...
Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vat...
KDD
2001
ACM
181views Data Mining» more  KDD 2001»
16 years 6 months ago
Co-clustering documents and words using bipartite spectral graph partitioning
Both document clustering and word clustering are well studied problems. Most existing algorithms cluster documents and words separately but not simultaneously. In this paper we pr...
Inderjit S. Dhillon