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ORCID5th KDD 1999: San Diego, CA, USA
- Mohammed Javeed Zaki, Ching-Tien Ho:
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 G. 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
Associations and Sequences
- 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
Classification
- 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
Clustering
- 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
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