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» Data Mining for Genetics: A Genetic Algorithm Approach
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ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
15 years 11 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...
RSCTC
2004
Springer
237views Fuzzy Logic» more  RSCTC 2004»
15 years 11 months ago
An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts
Abstract. We introduce an automated multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We uti...
Sebastian Widz, Kenneth Revett, Dominik Slezak
HICSS
2007
IEEE
176views Biometrics» more  HICSS 2007»
16 years 15 days ago
Mining Fuzzy Weighted Association Rules
The paper combines and extends the technologies of fuzzy sets and association rules, considering users’ differential emphasis on each attribute through fuzzy regions. A fuzzy da...
David L. Olson, Yanhong Li
IDA
2006
Springer
15 years 6 months ago
Classification of symbolic objects: A lazy learning approach
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
Annalisa Appice, Claudia d'Amato, Floriana Esposit...
ICIS
2000
15 years 7 months ago
Personalization of search engine services for effective retrieval and knowledge management
The Internet and corporate intranets provide far more information than anybody can absorb. People use search engines to find the information they require. However, these systems t...
Weiguo Fan, Michael D. Gordon, Praveen Pathak