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Abstract: As the amount of information available for analysis is increasing, scalability of data mining applications is becoming a critical factor. To this end, parallel versions of most of the commonly used data mining algorithms have been developed in recent years. However, developing, maintaining, and optimizing a parallel data mining application on today's parallel systems is an extremely time-consuming task. (Update)
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BibTeX entry: (Update)
R. Jin and G. Agrawal. A Middleware for Developing Parallel Data Mining Applications. In 2001, editor, Proceedings of the First SIAM International Conference on Data Mining, April Chicago, IL. http://citeseer.ist.psu.edu/jin01middleware.html More
@misc{ jin01middleware,
author = "R. Jin and G. Agrawal",
title = "A Middleware for Developing Parallel Data Mining Applications",
text = "R. Jin and G. Agrawal. A Middleware for Developing Parallel Data Mining
Applications. In 2001, editor, Proceedings of the First SIAM International
Conference on Data Mining, April Chicago, IL.",
year = "2001",
url = "citeseer.ist.psu.edu/jin01middleware.html" }
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