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» Discovering Interesting Subsets Using Statistical Analysis
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135
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KDD
2002
ACM
145views Data Mining» more  KDD 2002»
16 years 2 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
15 years 8 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer
116
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CORR
2010
Springer
123views Education» more  CORR 2010»
15 years 1 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...
140
Voted
DSP
2008
15 years 1 months ago
On statistical approaches to target silhouette classification in difficult conditions
In this paper we present a methodical evaluation of the performance of a new and two traditional approaches to automatic target recognition (ATR) based on silhouette representatio...
Conrad Sanderson, Danny Gibbins, Stephen Searle
WWW
2003
ACM
16 years 3 months ago
The XML web: a first study
Although originally designed for large-scale electronic publishing, XML plays an increasingly important role in the exchange of data on the Web. In fact, it is expected that XML w...
Laurent Mignet, Denilson Barbosa, Pierangelo Veltr...