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Title Large-scale parallel data mining / Mohammed J. Zaki, Ching-Tien Ho (eds.).
Imprint Berlin ; New York : Springer, [2000]
©2000

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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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Series Lecture notes in artificial intelligence ; 1759, subseries of Lecture notes in computer science
Lecture notes in computer science ; 1759.
Lecture notes in computer science. Lecture notes in artificial intelligence.
Subject Data mining.
Parallel processing (Electronic computers)
Alt Name Zaki, Mohammed J., 1971-
Ho, Ching-Tien.
Description viii, 260 pages : illustrations ; 24 cm.
monochrome rdacc
Bibliography Note Includes bibliographical references and index.
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 ... [et al.] -- A high performance implementation of the data space transfer protocol (DSTP) / Stuart Bailey ... [et al.] -- Active mining in a distributed setting / Srinivasan Parthasarathy, Sandhya Dwarkadas, and Mitsunori Ogihara -- Efficient parallel algorithms for mining associations / Mahesh V. Joshi ... [et al.] -- 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 ... [et al.] -- 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.
Access Available to OhioLINK libraries.
Reproduction Electronic reproduction. Columbus, OH : OhioLINK, 2008.
System Details Mode of access: World Wide Web.
ISBN 3540671943 (alk. paper)
9783540671947 (alk. paper)
OCLC # 664271598
Link OhioLINK electronic book center (OCoLC)180989150
SpringerLink (OCoLC)43927870
Additional Format Large-scale parallel data mining (OCoLC)43641174


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