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» An Algebraic Approach to Data Mining: Some Examples
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PKDD
1999
Springer
103views Data Mining» more  PKDD 1999»
15 years 10 months ago
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction
Abstract. We describe EDRL-MD, an evolutionary algorithm-based system, for learning decision rules from databases. The main novelty of our approach lies in dealing with continuous ...
Wojciech Kwedlo, Marek Kretowski
GFKL
2005
Springer
88views Data Mining» more  GFKL 2005»
15 years 11 months ago
The Partial Robust M-approach
The PLS approach is a widely used technique to estimate path models relating various blocks of variables measured from the same population. It is frequently applied in the social s...
Sven Serneels, Christophe Croux, Peter Filzmoser, ...
FLAIRS
2000
15 years 7 months ago
Graph-Based Hierarchical Conceptual Clustering
Hierarchical conceptual clustering has been proven to be a useful data mining technique. Graph-based representation of structural information has been shown to be successful in kn...
Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
SDM
2003
SIAM
134views Data Mining» more  SDM 2003»
15 years 7 months ago
Hierarchical Document Clustering using Frequent Itemsets
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...
Benjamin C. M. Fung, Ke Wang, Martin Ester
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 6 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo