Rajesh Parekh

According to our database, Rajesh Parekh authored at least 25 papers between 1996 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Designing AI at Scale to Power Everyday Life.

Rajesh Parekh

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

An Engagement-Based Customer Lifetime Value System for E-commerce.

Ali Vanderveld, Addhyan Pandey, Angela Han, Rajesh Parekh

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014

Controlled experimentation in recommendations, ranking & response prediction.

Ya Xu, Rajesh Parekh, Juliette Aurisset

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Learning to predict subject-line opens for large-scale email marketing.

Raju Balakrishnan, Rajesh Parekh

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2011

A feature-pair-based associative classification approach to look-alike modeling for conversion-oriented user-targeting in tail campaigns.

Ashish Mangalampalli, Adwait Ratnaparkhi, Andrew O. Hatch, Abraham Bagherjeiran, Rajesh Parekh, Vikram Pudi

Proceedings of the 20th International Conference on World Wide Web, 2011

2010

Online Advertising in Social Networks.

Abraham Bagherjeiran, Rushi Bhatt, Rajesh Parekh, Vineet Chaoji

Proceedings of the Handbook of Social Network Technologies and Applications, 2010

Large-Scale Customized Models for Advertisers.

Abraham Bagherjeiran, Andrew O. Hatch, Adwait Ratnaparkhi, Rajesh Parekh

Proceedings of the ICDMW 2010, 2010

Predicting product adoption in large-scale social networks.

Rushi Bhatt, Vineet Chaoji, Rajesh Parekh

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2008

Combining Behavioral and Social Network Data for Online Advertising.

Abraham Bagherjeiran, Rajesh Parekh

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2004

Lessons and Challenges from Mining Retail E-Commerce Data.

Ron Kohavi, Llew Mason, Rajesh Parekh, Zijian Zheng

Mach. Learn., 2004

Visualizing RFM Segmentation.

Ron Kohavi, Rajesh Parekh

Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

2001

Learning DFA from Simple Examples.

Rajesh Parekh, Vasant G. Honavar

Mach. Learn., 2001

2000

Constructive neural-network learning algorithms for pattern classification.

Rajesh Parekh, Jihoon Yang, Vasant G. Honavar

IEEE Trans. Neural Networks Learn. Syst., 2000

An empirical comparison of the performance so single-layer algorithms for training threshold logic units.

Rajesh Parekh, Jihoon Yang, Vasant G. Honavar

Neural Parallel Sci. Comput., 2000

On the Relationship between Models for Learning in Helpful Environments.

Rajesh Parekh, Vasant G. Honavar

Proceedings of the Grammatical Inference: Algorithms and Applications, 2000

1999

DistAl: An inter-pattern distance-based constructive learning algorithm.

Jihoon Yang, Rajesh Parekh, Vasant G. Honavar

Intell. Data Anal., 1999

Data-driven theory refinement algorithms for bioinformatics.

Jihoon Yang, Rajesh Parekh, Vasant G. Honavar, Drena Dobbs

Proceedings of the International Joint Conference Neural Networks, 1999

Data-Driven Theory Refinement Using <i>KBDistAl</i>.

Jihoon Yang, Rajesh Parekh, Vasant G. Honavar, Drena Dobbs

Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples.

Rajesh Parekh, Vasant G. Honavar

Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998

A Polynominal Time Incremental Algorithm for Learning DFA.

Rajesh Parekh, Codrin M. Nichitiu, Vasant G. Honavar

Proceedings of the Grammatical Inference, 4th International Colloquium, 1998

1997

Pruning strategies for the MTiling constructive learning algorithm.

Rajesh Parekh, Jihoon Yang, Vasant G. Honavar

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

MUpstart-a constructive neural network learning algorithm for multi-category pattern classification.

Rajesh Parekh, Jihoon Yang, Vasant G. Honavar

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996

An incremental interactive algorithm for grammar inference.

Rajesh Parekh, Vasant G. Honavar

Proceedings of the Grammatical Inference: Learning Syntax from Sentences, 1996

Constructive Neural Network Learning Algorithms.

Rajesh Parekh, Jihoon Yang, Vasant G. Honavar

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

An Incremental Interactive Algorithm for Regular Grammar Inference.

Rajesh Parekh, Vasant G. Honavar

Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996