5. KDD 1999: San Diego, CA, USA

Mohammed Javeed Zaki, Ching-Tien Ho (Eds.): Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD, August 15, 1999, San Diego, CA, USA, revised papers. Lecture Notes in Computer Science 1759 Springer 2000, ISBN 3-540-67194-3

Mohammed Javeed Zaki:
Parallel and Distributed Data Mining: An Introduction. 1-23

Mining Frameworks

Graham J. Williams, Irfan Altas, Sergey Bakin, Peter Christen, Markus Hegland, Alonso Marquez, Peter Milne, Rajehndra Nagappan, Stephen Roberts:
The Integrated Delivery of Large-Scale Data Mining: The ACSys Data Mining Project. 24-55
Stuart Bailey, Emory Creel, Robert L. Grossman, Srinath Gutti, Harimath Sivakumar:
A High Performance Implementation of the Data Space Transfer Protocol (DSTP). 55-64
Srinivasan Parthasarathy, Sandhya Dwarkadas, Mitsunori Ogihara:
Active Mining in a Distributed Setting. 65-82

Mahesh V. Joshi, Eui-Hong Han, George Karypis, Vipin Kumar:
Efficient Parallel Algorithms for Mining Associations. 83-126
Shinichi Morishita, Akihiro Nakaya:
Parallel Branch-and-Bound Graph Search for Correlated Association Rules. 127-144
Takahiko Shintani, Masaru Kitsuregawa:
Parallel Generalized Association Rule Mining on Large Scale PC Cluster. 145-160
Mohammed Javeed Zaki:
Parallel Sequence Mining on Shared-Memory Machines. 161-189

David B. Skillicorn:
Parallel Predictor Generation. 190-196
Sanjay Goil, Alok N. Choudhary:
Efficient Parallel Classification Using Dimensional Aggregates. 197-210
Lawrence O. Hall, Nitesh V. Chawla, Kevin W. Bowyer, W. Philip Kegelmeyer:
Learning Rules from Distributed Data. 211-220

Erik L. Johnson, Hillol Kargupta:
Collective, Hierarchical Clustering from Distributed, Heterogeneous Data. 221-244
Inderjit S. Dhillon, Dharmendra S. Modha:
A Data-Clustering Algorithm on Distributed Memory Multiprocessors. 245-260

Last update Thu May 23 17:36:58 2013 CET by the DBLP Team —

Data released under the ODC-BY 1.0 license — See also our legal information page