Dr. Vasant Honavar Department of Computer Science honavar@cs ...

23. Zhang, J. and Honavar, V. (2004). AVT-NBL - An Algorithm for Learning Compact and Accurate Naive Bayes
Classifiers from Attribute Value Taxonomies and Data. In: Proceedings of the IEEE International Conference on
Data Mining.
24. Atramentov, A., Leiva, H., and Honavar, V. (2003). A Multi-Relational Decision Tree Learning Algorithm -
Implementation and Experiments. In: Proceedings of the Thirteenth International Conference on Inductive Logic
Programming. (Vol. 2835, Lecture Notes in Computer Science) Berlin: Springer-Verlag. pp. 38-56.
25. Caragea, D., Cook. D., and Honavar, V. Towards Simple, Easy-to-Understand, yet Accurate Classifiers. In:
Proceedings of the IEEE International Conference on Data Mining (ICDM 2003). Melbourne, Florida, 2003.
26. Caragea, D., Cook, D., and Honavar. V. Visualizing Ensemble of Hyperplane Classifiers. In: Proceedings of
Visual Data Mining Workshop. IEEE International Conference on Data Mining (ICDM 2003). Melbourne, Florida,
2003. Springer Verlag.
27. Caragea, D., Silvescu, A., and Honavar, V. (2003) Decision Tree Induction from Distributed, Heterogeneous,
Autonomous Data Sources. In: Proceedings of the Conference on Intelligent Systems Design and Applications
(ISDA 2003). Springer Verlag.
28. Reinoso-Castillo, J., Silvescu, A., Caragea, D., Pathak, J., and Honavar, V. (2003). An Ontology-Based Query-
Centric Approach to Information Extraction and Integration from Heterogeneous, Distributed, Autonomous Data
Sources. IEEE International Conference on Information Reuse and Integration. In press.
29. Yan, C., Dobbs, D., and Honavar, V. (2003) Identification of Residues Involved in Protein-Protein Interaction
from Amino Acid Sequence - A Support Vector Machine Approach. In: Proceedings of the Conference on
Intelligent Systems Design and Applications (ISDA 2003). Springer-Verlag.
30. Zhang, J. and Honavar, V. (2003). Learning Decision Tree Classifiers from Attribute-Value Taxonomies and
Partially Specified Data. In: Proceedings of the International Conference on Machine Learning. Washington, DC.
AAAI Press. pp. 880-887.
31. Z. Zhong, V. Vishwanathan, J. McCalley, V. Honavar, Multiagent System Solutions for Distributed Computing,
Communications, and Data Integration Needs in the Power Industry. In. Proc. of the 2003 IEEE PES Summer
Meeting, Toronto, July, 2003. In press.
32. Zhang, J., Silvescu, A., and Honavar, V. Ontology-Driven Induction of Decision Trees at Multiple Levels of
Abstraction. In: Proceedings of the Symposium on Abstraction, Reformulation, and Approximation (SARA-2002).
Kananaskis, Alberta, Canada. Lecture Notes in Computer Science. Berlin: Springer-Verlag. pp. 316-323
33. Andorf, C., Dobbs, D., and Honavar, V. (2002). Discovering Protein Function Classification Rules from Reduced
Alphabet Representations of Protein Sequences. In: Proceedings of the Conference on Computational Biology
and Genome Informatics. Durham, North Carolina.
34. Wang, X., Schroeder, D., Dobbs, D., and Honavar, V. (2002). Data-Driven Discovery of Protein Function
Classifiers: Decision Trees Based on MEME Motifs Outperform Those Based on PROSITE Patterns and Profiles
on Peptidase Families.
35. Caragea, D., Cook, D., and Honavar, V. (2001). Gaining Insights into Support Vector Machine Classifiers Using
Projection-Based Tour Methods. In: Proceedings of the Conference on Knowledge Discovery and Data Mining.
36. Helmer, G., Wong, J., Slagell, M., Honavar, V., Miller, L. and Lutz, R. (2001). A Software Fault Tree Approach to
Requirements Analysis of an Intrusion Detection System. In: Proceedings of the Symposium on Requirements
Engineering for Information Security, Indianapolis, IN, USA.
37. Polikar, R., Shinar, R., Honavar, V., Udpa, L., and Porter, M. (2001). Detection and Identification of Odorants
Using an Electronic Nose. In: Proceedings of the IEEE Conference on Acoustics, Speech, and Signal
Processing.
38. Silvescu, A., Reinoso-Castillo, J., Andorf, C., Honavar, V., and Dobbs, D. (2001). Ontology-Driven Information
Extraction and Knowledge Acquisition from Heterogeneous, Distributed Biological Data Sources. In: Proceedings
of the IJCAI-2001 Workshop on Knowledge Discovery from Heterogeneous, Distributed, Autonomous, Dynamic
Data and Knowledge Sources.
Dec 2005
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