Large-scale parallel data mining /
| Corporate Author: | |
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; New York :
Springer,
[2000]
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| Series: | Lecture notes in computer science ;
1759. Lecture notes in computer science. Lecture notes in artificial intelligence. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Parallel and distributed data mining : an introduction / Mohammed J. Zaki
- The integrated delivery of large-scale data mining : the ACSys data mining project / Graham Williams [and others]
- A high performance implementation of the data space transfer protocol (DSTP) / Stuart Bailey [and others]
- Active mining in a distributed setting / Srinivasan Parthasarathy, Sandhya Dwarkadas, and Mitsunori Ogihara
- Efficient parallel algorithms for mining associations / Mahesh V. Joshi [and others]
- Parallel branch-and-bound graph search for correlated association rules / Shinichi Morishita and Akihiro Nakaya
- Parallel generalized association rule mining on large scale PC cluster / Takahiko Shintani and Masaru Kitsuregawa
- Parallel sequence mining on shared-memory machines / Mohammed J. Zaki
- Parallel predictor generation / D.B. Skillicorn
- Efficient parallel classification using dimensional aggregates / Sanjay Goil and Alok Choudhary
- Learning rules from distributed data / Lawrence O. Hall [and others]
- Collective, hierarchical clustering from distributed, heterogeneous data / Erik L. Johnson and Hillol Kargupta
- A data-clustering algorithm on distributed memory multiprocessors / Inderjit S. Dhillon and Dharmendra S. Modha.