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ISCI
2008
166views more  ISCI 2008»
15 years 6 months ago
A discretization algorithm based on Class-Attribute Contingency Coefficient
Discretization algorithms have played an important role in data mining and knowledge discovery. They not only produce a concise summarization of continuous attributes to help the ...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
CORR
2007
Springer
135views Education» more  CORR 2007»
15 years 6 months ago
Association Rules in the Relational Calculus
One of the most utilized data mining tasks is the search for association rules. Association rules represent significant relationships between items in transactions. We extend the...
Oliver Schulte, Flavia Moser, Martin Ester, Zhiyon...
IPM
2006
151views more  IPM 2006»
15 years 6 months ago
Document clustering using nonnegative matrix factorization
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
ML
2006
ACM
105views Machine Learning» more  ML 2006»
15 years 6 months ago
Propositionalization-based relational subgroup discovery with RSD
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
Filip Zelezný, Nada Lavrac
IJIS
2007
97views more  IJIS 2007»
15 years 6 months ago
Attribute-oriented fuzzy generalization in proximity- and similarity-based relational database systems
article we investigate an attribute-oriented induction approach for acquisition of abstract knowledge from data stored in a fuzzy database environment. We utilize a proximity-based...
Rafal A. Angryk, Frederick E. Petry
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