Mahesh V. Joshi

According to our database, Mahesh V. Joshi authored at least 20 papers between 1995 and 2004.

Collaborative distances:

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

2004

CREDOS: Classification Using Ripple Down Structure (A Case for Rare Classes).

Mahesh V. Joshi, Vipin Kumar

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

2003

Topic Learning from Few Examples.

Huaiyu Zhu, Shivakumar Vaithyanathan, Mahesh V. Joshi

Proceedings of the Knowledge Discovery in Databases: PKDD 2003, 2003

2002

High Performance Data Mining.

Vipin Kumar, Mahesh V. Joshi, Eui-Hong Han, Pang-Ning Tan, Michael S. Steinbach

Proceedings of the High Performance Computing for Computational Science, 2002

Predicting Rare Classes: Comparing Two-Phase Rule Induction to Cost-Sensitive Boosting.

Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar

Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

Predicting rare classes: can boosting make any weak learner strong?

Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar

Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

On Evaluating Performance of Classifiers for Rare Classes.

Mahesh V. Joshi

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

2001

Mining Needle in a Haystack: Classifying Rare Classes via Two-phase Rule Induction.

Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar

Proceedings of the 2001 ACM SIGMOD international conference on Management of data, 2001

PNrule: A New Framework for Learning Classifier Models in Data Mining (A Case-Study in Network Intrusion Detection).

Ramesh C. Agarwal, Mahesh V. Joshi

Proceedings of the First SIAM International Conference on Data Mining, 2001

Evaluating Boosting Algorithms to Classify Rare Classes: Comparison and Improvements.

Mahesh V. Joshi, Vipin Kumar, Ramesh C. Agarwal

Proceedings of the 2001 IEEE International Conference on Data Mining, 29 November, 2001

1999

PSPASES: An Efficient and Scalable Parallel Sparse Direct Solver.

Mahesh V. Joshi, George Karypis, Vipin Kumar, Anshul Gupta, Fred G. Gustavson

Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999

Efficient Parallel Algorithms for Mining Associations.

Mahesh V. Joshi, Eui-Hong Han, George Karypis, Vipin Kumar

Proceedings of the Large-Scale Parallel Data Mining, 1999

1998

The Design, Implementation, and Evaluation of a Symmetric Banded Linear Solver for Distributed-Memory Parallel Computers.

Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, Sivan Toledo

ACM Trans. Math. Softw., 1998

WSSMP: A High-Performance Serial and Parallel Symmetric Sparse Linear Solver.

Anshul Gupta, Mahesh V. Joshi, Vipin Kumar

Proceedings of the Applied Parallel Computing, 1998

ScalParC: A New Scalable and Efficient Parallel Classification Algorithm for Mining Large Datasets.

Mahesh V. Joshi, George Karypis, Vipin Kumar

Proceedings of the 12th International Parallel Processing Symposium / 9th Symposium on Parallel and Distributed Processing (IPPS/SPDP '98), March 30, 1998

1997

Design and Implementation of a Scalable Parallel Direct Solver for Sparse Symmetric Positive Definite Systems: Preliminary Results.

Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, George Karypis, Vipin Kumar

Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, 1997

A high performance two dimensional scalable parallel algorithm for solving sparse triangular systems.

Mahesh V. Joshi, Anshul Gupta, George Karypis, Vipin Kumar

Proceedings of the Fourth International on High-Performance Computing, 1997

1996

The Design, Implementation, and Evaluation of a Banded Linear Solver for Distributed-Memory Parallel Computers.

Anshul Gupta, Fred G. Gustavson, Mahesh V. Joshi, Sivan Toledo

Proceedings of the Applied Parallel Computing, 1996

1995

A three-dimensional approach to parallel matrix multiplication.

Ramesh C. Agarwal, Susanne M. Balle, Fred G. Gustavson, Mahesh V. Joshi, Prasad V. Palkar

IBM J. Res. Dev., 1995

A Scalable Parallel Block Algorithm for Band Cholesky Factorization.

Ramesh C. Agarwal, Fred G. Gustavson, Mahesh V. Joshi, Mohammad Zubair

Proceedings of the Seventh SIAM Conference on Parallel Processing for Scientific Computing, 1995

A High Performance Matrix Manipulation Algorithm for MPPs.

Ramesh C. Agarwal, Fred G. Gustavson, Susanne M. Balle, Mahesh V. Joshi, Prasad V. Palkar

Proceedings of the Applied Parallel Computing, 1995