A requirements analysis for parallel KDD systems

William A. Maniatty, Mohammed J. Zaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

The current generation of data mining tools have limited capacit y and performance, since these tools tend to be sequential. This paper explores a migration path out of this bottlenec kby considering an in tegrated hardware and softw are approach to parallelize data mining. Our analysis shows that parallel data mining solutions require the following components: parallel data mining algorithms, parallel and distributed data bases, parallel file systems, parallel I/O, tertiary storage, management of online data, support for heterogeneous data representations, securit y, qualit yof service and pricing metrics. State of the art technology in these areas is surveyed with an eye tow ards an integration strategy leading to a complete solution.

Original languageEnglish
Title of host publicationParallel and Distributed Processing - 15 IPDPS 2000 Workshops, Proceedings
Pages358-365
Number of pages8
Publication statusPublished - 1 Dec 2000
Event15 Workshops Held in Conjunction with the IEEE International Parallel and Distributed Processing Symposium, IPDPS 2000 - Cancun, Mexico
Duration: 1 May 20005 May 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1800 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15 Workshops Held in Conjunction with the IEEE International Parallel and Distributed Processing Symposium, IPDPS 2000
CountryMexico
CityCancun
Period1/5/005/5/00

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Maniatty, W. A., & Zaki, M. J. (2000). A requirements analysis for parallel KDD systems. In Parallel and Distributed Processing - 15 IPDPS 2000 Workshops, Proceedings (pp. 358-365). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1800 LNCS).