Jun Zhang, Doina Caragea, and Vasant Honavar Artificial Intelligence Research ...  Home/Search
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Abstract: Many practical applications of machine learning in datadriven scientific discovery commonly call for the exploration of data from multiple points of view that correspond to explicitly specified ontologies. (Update)
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BibTeX entry: (Update)
@misc{ doina-learning,
author = "Jun Zhang Doina",
title = "Learning Ontology-Aware Classifiers",
url = "citeseer.ist.psu.edu/744795.html" }
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13 Ontology-based Induction of High Level Classification Rules - Taylor, Sto et al. - 1997 DBLP
10 Applications of Data Mining to Electronic Commerce - Kohavi, Provost - 2001 ACM DBLP
10 Learning Decision Tree Classifiers from Attribute Value Taxo.. - Zhang, Honavar - 2003
9 A Framework for Learning from Distributed Data Using Su#cien.. - Caragea, Silvescu et al. - 2004
9 Learning Classifiers from Semantically Heterogeneous Data - Caragea, Pathak et al. - 2004
8 Knowledge Discovery in Multi-label Phenotype Data - Clare, King - 2001 ACM DBLP
8 Ontology-Driven Induction of Decision Trees at Multiple Leve.. - Zhang, Silvescu et al. - 2002 ACM DBLP
7 On Handling Tree-Structured Attributes (context) - Almuallim, Akiba et al. - 1995
4 AVT-NBL: An Algorithm for Learning Compact and Accurate Nave.. (context) - Zhang, Honavar - 2004
3 Generation of Attribute Value Taxonomies from Data for Data-.. - Kang, Silvescu et al. - 2004 ACM
2 Aggregation of Imprecise and Uncertain Information in Databa.. (context) - McClean, Scotney et al. - 2001 ACM DBLP
1 A Target Centric Ontology for Intrusion Detection: Using DAM.. (context) - er - 2004
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