Advances in distributed and parallel knowledge discovery / edited by Hillol Kargupta and Philip Chan.

Includes bibliographical references (pages 419-449) and index.

Distributed and Parallel Data Mining: A Brief Introduction / Hillol Kargupta and Philip Chan -- 1. Distributed Data Mining: Scaling Up and Beyond / Foster Provost -- 2. Scalable Data Mining through Fine-Grained Parallelism: the Present and the Future / Chandrika Kamath and Ron Musick -- 3. Meta-learning in Distributed Data Mining Systems: Issues and Approaches / Andreas L. Prodromidis, Philip K. Chan and Salvatore J. Stolfo -- 4. Distributed Classification with Knowledge Probing: A New Framework for Distributed Data Mining / Yi-ke Guo and Janjao Sutiwaraphun -- 5. Collective Data Mining: A New Perspective Toward Distributed Data Mining / Hillol Kargupta, Byung-Hoon Park and Daryl Hershberger / [and others].