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ESWA
2008
128views more  ESWA 2008»
15 years 6 months ago
Mining the data from a hyperheuristic approach using associative classification
Associative classification is a promising classification approach that utilises association rule mining to construct accurate classification models. In this paper, we investigate ...
Fadi A. Thabtah, Peter I. Cowling
CICLING
2009
Springer
16 years 1 months ago
Semantic-Based Temporal Text-Rule Mining
Abstract. In many contexts today, documents are available in a number of versions. In addition to explicit knowledge that can be queried/searched in documents, these documents also...
Kjetil Nørvåg, Ole Kristian Fivelstad
ILP
2003
Springer
15 years 11 months ago
ILP for Mathematical Discovery
We believe that AI programs written for discovery tasks will need to simultaneously employ a variety of reasoning techniques such as induction, abduction, deduction, calculation an...
Simon Colton, Stephen Muggleton
KDD
2001
ACM
1203views Data Mining» more  KDD 2001»
16 years 6 months ago
Application of Data Mining Techniques for Medical Image Classification
Breast cancer represents the second leading cause of cancer deaths in women today and it is the most common type of cancer in women. This paper presents some experiments for tumou...
Maria-Luiza Antonie, Osmar R. Zaïane, Alexand...
EUSFLAT
2007
103views Fuzzy Logic» more  EUSFLAT 2007»
15 years 7 months ago
Measuring Variation Strength in Gradual Dependencies
In this paper we extend a previous definition of gradual dependence as a special kind of (crisp) association rule, in order to measure not only the existence of a tendency, but i...
Carlos Molina, José-María Serrano, D...