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ICDM
2007
IEEE
131views Data Mining» more  ICDM 2007»
14 years 17 days ago
Predicting and Optimizing Classifier Utility with the Power Law
When data collection is costly and/or takes a significant amount of time, an early prediction of the classifier performance is extremely important for the design of the data minin...
Mark Last
ICDM
2005
IEEE
153views Data Mining» more  ICDM 2005»
14 years 2 months ago
Speculative Markov Blanket Discovery for Optimal Feature Selection
In this paper we address the problem of learning the Markov blanket of a quantity from data in an efficient manner. Markov blanket discovery can be used in the feature selection ...
Sandeep Yaramakala, Dimitris Margaritis
ICDM
2008
IEEE
122views Data Mining» more  ICDM 2008»
14 years 3 months ago
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
Chris H. Q. Ding, Tao Li, Michael I. Jordan
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 9 months ago
Mining relational data through correlation-based multiple view validation
Commercial relational databases currently store vast amounts of real-world data. The data within these relational repositories are represented by multiple relations, which are int...
Hongyu Guo, Herna L. Viktor
SIGMOD
2001
ACM
165views Database» more  SIGMOD 2001»
14 years 8 months ago
Mining System Audit Data: Opportunities and Challenges
Intrusion detection is an essential component of computer security mechanisms. It requires accurate and efficient analysis of a large amount of system and network audit data. It c...
Wenke Lee, Wei Fan