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» Mining Association Rules between Sets of Items in Large Data...
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KDD
2006
ACM
130views Data Mining» more  KDD 2006»
15 years 10 months ago
Discovering significant rules
In many applications, association rules will only be interesting if they represent non-trivial correlations between all constituent items. Numerous techniques have been developed ...
Geoffrey I. Webb
KDD
1995
ACM
67views Data Mining» more  KDD 1995»
15 years 1 months ago
A Perspective on Databases and Data Mining
We discuss the use of database met hods for data mining. Recently impressive results have been achieved for some data mining problems using highly specialized and clever data stru...
Marcel Holsheimer, Martin L. Kersten, Heikki Manni...
70
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BMCBI
2007
102views more  BMCBI 2007»
14 years 9 months ago
Setting up a large set of protein-ligand PDB complexes for the development and validation of knowledge-based docking algorithms
Background: The number of algorithms available to predict ligand-protein interactions is large and ever-increasing. The number of test cases used to validate these methods is usua...
Luis A. Diago, Persy Morell, Longendri Aguilera, E...
GFKL
2006
Springer
75views Data Mining» more  GFKL 2006»
15 years 1 months ago
Classification of Contradiction Patterns
Abstract. Solving conflicts between overlapping databases requires an understanding of the reasons that lead to the inconsistencies. Provided that conflicts do not occur randomly b...
Heiko Müller, Ulf Leser, Johann Christoph Fre...
AAI
2007
132views more  AAI 2007»
14 years 9 months ago
Incremental Extraction of Association Rules in Applicative Domains
In recent years, the KDD process has been advocated to be an iterative and interactive process. It is seldom the case that a user is able to answer immediately with a single query...
Arianna Gallo, Roberto Esposito, Rosa Meo, Marco B...