Rajesh Girish Parekh
Publications
Journal
- Kohavi, R., Mason, L., Parekh, R., and Zheng, Z., Lessons and Challenges from Mining Retail E-Commerce Data. Machine Learning vol 57 (1-2), pp. 83-113, 2004. [draft]
- Parekh, R., and Honavar, V., Learning DFA from
Simple Examples. Machine Learning vol 44, pp. 9-35, 2001.
- Parekh, R., and Yang, J., and Honavar, V. Constructive
Neural Network Learning Algorithms for Pattern Classification.
IEEE Transactions on Neural Networks. 11(2), pp.
436-451. 2000.
- Parekh, R., Yang, J., and Honavar, V., Comparison
of Performance of Variants of Single-Layer Perceptron Algorithms
on Non-separable Datasets. Neural, Parallel, and Scientific
Computation, vol. 8, pp. 415-438, 2000.
- Yang, J., Parekh, R., and Honavar, V., DistAl:
An Inter-Pattern Distance-Based Constructive Learning Algorithm.
Intelligent Data Analysis 3, pp. 55-73. 1999.
Invited Chapters
- Parekh, R., and Honavar, V., Automata Induction,
Grammar Inference, and Language Acquisition, The Handbook of Natural
Language Processing. Dale, Moisl, and Somers (editors), Marcel
Dekker Inc., New York, 2000. pp. 727-764.
- Honavar, V., Yang, J., and Parekh, R., Constructive
Learning and Structural Learning. Encyclopedia of Electrical
and Electronics Engineering. Webster, J. (editor), New York:
Wiley. 1999.
Refereed
Conferences and Workshops
- Kohavi, R., and Parekh, R., Visualizing RFM Segmentation. Proceedings of the 2004 SIAM International Conference on Data Mining (SDM'2004), Orlando, FL, pp. 391-399, April 22-24, 2004.
- Kohavi, R., and Parekh, R., Ten Supplementary
Analyses to Improve E-Commerce Websites. Proceedings of Webmining
as a Premise to Effective and Intelligent Web Applications (WEBKDD'2003),
Washington D.C., Aug. 27, 2003.
- Parekh, R., and Honavar, V. On the Relationship
between Models for Learning in Helpful Environments. Proceedings
of the Fifth International Colloquium on Grammatical Inference
(ICGI'2000), Lisbon, Portugal, pp. 207-220, Sep. 11-13, 2000.
- Tuason, N., and Parekh, R. Mining
Operational Databases to Predict Short-Term Defection Among Insured
Households. Proceedings of the 2000 Advanced Research Techniques
Forum (ART'2000), Monterey, CA. Jun 4-7, 2000.
- Parekh, R., and Honavar, V. Simple DFA
are Polynomially Probably Exactly Learnable from Simple Examples.
Proceedings of the Sixteenth International Conference on Machine
Learning (ICML’99), Bled, Slovenia, pp. 298-306, Jun. 27-30,
1999.
- Yang, J., Parekh, R., Honavar, V., and Dobbs,
D. Data-Driven
Theory Refinement Using KBDistAl. Proceedings of the Third
International Symposium on Intelligent Data Analysis (IDA’99).
Amsterdam, The Netherlands, pp. 331-342, 1999.
- Yang, J., Parekh, R., Honavar, V., and Dobbs,
D. Data-Driven
Theory Refinement Algorithms for Bioinformatics. Proceedings
of the International Joint Conference on Neural Networks (IJCNN’99),
Washington, D.C., vol. 6. pp. 4064-4068, 1999.
- Parekh, R., Nichitiu, C., and Honavar, V., A Polynomial
Time Incremental Algorithm for Learning DFA. Proceedings
of the Fourth International Colloquium on Grammatical Inference
(ICGI'98), Ames, IA. Lecture Notes in Computer Science
vol. 1433 pp. 37-49, 1998.
- Parekh, R., Yang, J., and Honavar, V., Constructive
Theory Refinement in Knowledge Based Neural Networks.
Proceedings of the IEEE/INNS International Joint Conference
on Neural Networks (IJCNN'98), Anchorage, AK, pp.
2318-2323, May 4-8, 1998.
- Yang, J., Parekh, R., and Honavar, V., DistAl:
An Inter-Pattern Distance-Based Constructive Learning Algorithm.
Proceedings of the IEEE/INNS International Joint Conference
on Neural Networks (IJCNN'98), Anchorage, AK, pp.
2208-2213, May 4-8, 1998.
- Parekh, R., and Honavar, V., Learning
DFA from Simple Examples. Proceedings of the Eighth International
Workshop on Algorithmic Learning Theory (ALT'97),
Sendai, Japan. Oct. 6-8, 1997. Lecture Notes in Computer Science
vol. 1316, pp. 116-131, 1997. A version of this paper was presented
at the Workshop on Grammar Inference, Automata Induction,
and Language Acquisition (ICML'97), Nashville, TN.
Jul. 12, 1997.
- Parekh, R., Yang, J., and Honavar, V., Pruning
Strategies for the MTiling Constructive Learning Algorithm.
Proceedings of the IEEE/INNS International Conference
on Neural Networks (ICNN'97), Houston, TX, vol III,
pp. 1960-1965, June 9-12, 1997.
- Parekh, R., Yang, J., and Honavar, V., MUpstart
- A Constructive Neural Network Learning Algorithm for Multi-Category
Pattern Classification. Proceedings of the IEEE/INNS
International Conference on Neural Networks (ICNN'97),
Houston, TX, vol III, pp. 1924-1929, June 9-12, 1997.
- Parekh, R., and Honavar, V., An Incremental
Interactive Algorithm for Regular Grammar Inference. Proceedings
of the Third International Colloquium on Grammatical Inference
(ICGI'96), Montpellier, France. Lecture Notes in Computer
Science vol. 1147, pp. 238-250, September 24-27, 1996.
- Yang, J., Parekh, R., and Honavar, V., MTiling
- A Constructive Neural Network Learning Algorithm for Multi-Category
Pattern Classification. Proceedings of the WCNN'96,
San Diego, CA, pp. 182-187, September 15-20, 1996.
- Racherla, G., Killian, S., Fife, L., Lehmann,
M., and Parekh, R., PARSIT: A parallel
algorithm reconfiguration simulation tool. Proceedings
of the 1995 International Conference on High Performance Computing,
New Delhi, India, pp. 373-378, December 27-30, 1995.
- Chen, C-H., Parekh, R., Yang, J., Balakrishnan,
K., and Honavar, V., Analysis
of Decision Boundaries Generated by Constructive Neural Learning
Algorithms. Proceedings of the World Congress on Neural Networks
(WCNN'95), Washington D.C., pp. 628-635, July 17-21, 1995.
- Parekh, R., and Honavar, V., Efficient Learning
of Regular Languages using Teacher Supplied Positive Samples
and Learner Generated Queries. Proceedings of the Fifth
UNB Conference on AI , Fredrickton, Canada, pp. 195-203, August
11-14, 1993.
- Parekh R., Balakrishnan, K., and Honavar, V.,
An
Empirical Comparison of Flat-Spot Elimination Techniques in
Back Propagation Neural Networks. Proceedings of the
SIMTEC/WNN'92, Clear Lake, TX, pp. 463-468, November 4-6, 1992.
- Arunkumar, S., Lal, R., Venkatagopal, R., Parekh,
R. and Daruwala, R., SIMPAC: A Simulator for Parallel Architectures
and Computing. Proceedings of the IEEE Region 10 Conference,
Tencon'92 Melbourne, Australia, pp. 196-200, 1992.
Patents
- Parekh, R., Parikh, J., and Berkhin, P. Predicting Newsworthy Queries using Combined Online and Offline Models, Filed April 2008.
- Parikh, J., Bhamidipati, N., and Parekh, R., Identifying Super-Phrases of Text Strings, Filed April 2008.
- Parekh, R., Parmar, J. and Berkhin, P. Personalizing Sponsored Search Advertising Layout using User Behavior History, Filed March 2008.
- Bhatt, R., Parikh, J., Parekh, R., and Berkhin, P. Differentiated Treatment of Sponsored Search Results Based on Search Context. Filed October 2007.
- Tomkins, A., Ojjeh, B., Berkhin, P., Parekh, R., Gaffney, S., Fayyad, U. Bid Optimization in Search Engine Marketing. Filed December 2006.
- Klots, B., Eneva, E., Mayoraz, N., Berkhin, P., Parekh, R., Chow, R. Evaluating the Performance of Binary Classification Systems. Filed December 2006.
- Fayyad, U., Berkhin, P., Tomkins, A., Parekh, R., Parikh, J., Sculley, D. Keyword Set and Target Audience Profile Generalization Techniques. Filed May 2006.
Last updated - July 2008.