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115
Voted
KDD
2003
ACM
149views Data Mining» more  KDD 2003»
16 years 2 months ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...
129
Voted
KDD
2001
ACM
253views Data Mining» more  KDD 2001»
16 years 2 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
MSR
2006
ACM
15 years 8 months ago
TA-RE: an exchange language for mining software repositories
Software repositories have been getting a lot of attention from researchers in recent years. In order to analyze software repositories, it is necessary to first extract raw data f...
Sunghun Kim, Thomas Zimmermann, Miryung Kim, Ahmed...
KDD
2000
ACM
129views Data Mining» more  KDD 2000»
15 years 6 months ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya
BIODATAMINING
2008
130views more  BIODATAMINING 2008»
15 years 2 months ago
Uncovering mechanisms of transcriptional regulations by systematic mining of cis regulatory elements with gene expression profil
Background: Contrary to the traditional biology approach, where the expression patterns of a handful of genes are studied at a time, microarray experiments enable biologists to st...
Qicheng Ma, Gung-Wei Chirn, Joseph D. Szustakowski...