Rajesh Parekh

According to our database1, Rajesh Parekh authored at least 25 papers between 1996 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2017
Designing AI at Scale to Power Everyday Life.
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.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014
Controlled experimentation in recommendations, ranking & response prediction.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Learning to predict subject-line opens for large-scale email marketing.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

2011
A feature-pair-based associative classification approach to look-alike modeling for conversion-oriented user-targeting in tail campaigns.
Proceedings of the 20th International Conference on World Wide Web, 2011

2010
Online Advertising in Social Networks.
Proceedings of the Handbook of Social Network Technologies and Applications, 2010

Large-Scale Customized Models for Advertisers.
Proceedings of the ICDMW 2010, 2010

Predicting product adoption in large-scale social networks.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2008
Combining Behavioral and Social Network Data for Online Advertising.
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.
Machine Learning, 2004

Visualizing RFM Segmentation.
Proceedings of the Fourth SIAM International Conference on Data Mining, 2004

2001
Learning DFA from Simple Examples.
Machine Learning, 2001

2000
Constructive neural-network learning algorithms for pattern classification.
IEEE Trans. Neural Netw. Learning Syst., 2000

An empirical comparison of the performance so single-layer algorithms for training threshold logic units.
Neural Parallel & Scientific Comp., 2000

On the Relationship between Models for Learning in Helpful Environments.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2000

1999
DistAl: An inter-pattern distance-based constructive learning algorithm.
Intell. Data Anal., 1999

Data-driven theory refinement algorithms for bioinformatics.
Proceedings of the International Joint Conference Neural Networks, 1999

Data-Driven Theory Refinement Using KBDistAl.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples.
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.
Proceedings of the Grammatical Inference, 4th International Colloquium, 1998

1997
Pruning strategies for the MTiling constructive learning algorithm.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

MUpstart-a constructive neural network learning algorithm for multi-category pattern classification.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
An incremental interactive algorithm for grammar inference.
Proceedings of the Grammatical Inference: Learning Syntax from Sentences, 1996

Constructive Neural Network Learning Algorithms.
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.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996


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