173
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KDD
2002
ACM
16 years 7 months ago
2002
ACM
We present a closed set data mining paradigm which is particularly e ective for uncovering the kind of deterministic, causal dependencies that characterize much of basic science. ...
172
click to vote
KDD
2002
ACM
16 years 7 months ago
2002
ACM
The 3D conformation of a protein may be compactly represented in a symmetrical, square, boolean matrix of pairwise, inter-residue contacts, or "contact map". The contact...
170
click to vote
KDD
2002
ACM
16 years 7 months ago
2002
ACM
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...
181
click to vote
KDD
2002
ACM
16 years 7 months ago
2002
ACM
Protein secondary structure prediction and high-throughput drug screen data mining are two important applications in bioinformatics. The data is represented in sparse feature spac...
168
click to vote
KDD
2002
ACM
16 years 7 months ago
2002
ACM
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
202
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KDD
2003
ACM
16 years 7 months ago
2003
ACM
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
160
click to vote
KDD
2003
ACM
16 years 7 months ago
2003
ACM
XML documents have recently become ubiquitous because of their varied applicability in a number of applications. Classification is an important problem in the data mining domain, ...