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» A framework for mining interesting pattern sets
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JASIS
2000
143views more  JASIS 2000»
15 years 1 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
111
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KDD
2004
ACM
190views Data Mining» more  KDD 2004»
16 years 2 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
76
Voted
SIGMOBILE
2008
86views more  SIGMOBILE 2008»
15 years 1 months ago
Profile-cast: behavior-aware mobile networking
In this paper we advocate a service paradigm, profile-cast, within the communication framework of delay tolerant networks (DTN)[2]. This novel approach leverages the behavioral pat...
Wei-jen Hsu, Debojyoti Dutta, Ahmed Helmy
142
Voted
GECCO
2007
Springer
197views Optimization» more  GECCO 2007»
15 years 8 months ago
Computational intelligence techniques: a study of scleroderma skin disease
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
Julio J. Valdés, Alan J. Barton
110
Voted
SIGMOD
2003
ACM
121views Database» more  SIGMOD 2003»
16 years 2 months ago
An environmental sensor network to determine drinking water quality and security
Finding patterns in large, real, spatio/temporal data continues to attract high interest (e.g., sales of products over space and time, patterns in mobile phone users; sensor netwo...
Anastassia Ailamaki, Christos Faloutsos, Paul S. F...