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Performance analysis of data mining tools cumulating with a proposed data mining middleware

Data mining has becoming increasingly popular in helping to reveal important knowledge from the organization's databases and has led to the emergence of a variety of data mining tools to help in decision making. Present study described a test bed to investigate five major data mining tools, nam...

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Main Authors: Hen, Lai Ee, Lee, Sai Peck
Format: Article
Published: 2008
Subjects:
QA76 Computer software
Online Access:http://eprints.um.edu.my/6836/
http://docsdrive.com/pdfs/sciencepublications/jcssp/2008/826-833.pdf
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spelling my.um.eprints.68362013-07-08T06:38:59Z http://eprints.um.edu.my/6836/ Performance analysis of data mining tools cumulating with a proposed data mining middleware Hen, Lai Ee Lee, Sai Peck QA76 Computer software Data mining has becoming increasingly popular in helping to reveal important knowledge from the organization's databases and has led to the emergence of a variety of data mining tools to help in decision making. Present study described a test bed to investigate five major data mining tools, namely IBM intelligent miner, SPSS Clementine, SAS enterprise miner, oracle data miner and Microsoft business intelligence development studio. Present studies focus on the performance of these tools. Results provide a review of these tools and propose a data mining middleware adopting the strengths of the tools. 2008 Article PeerReviewed Hen, Lai Ee and Lee, Sai Peck (2008) Performance analysis of data mining tools cumulating with a proposed data mining middleware. Journal of Computer Science, 4 (10). pp. 826-833. ISSN 1549-3636 http://docsdrive.com/pdfs/sciencepublications/jcssp/2008/826-833.pdf 10.3844/jcssp.2008.826.833
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA76 Computer software
spellingShingle QA76 Computer software
Hen, Lai Ee
Lee, Sai Peck
Performance analysis of data mining tools cumulating with a proposed data mining middleware
description Data mining has becoming increasingly popular in helping to reveal important knowledge from the organization's databases and has led to the emergence of a variety of data mining tools to help in decision making. Present study described a test bed to investigate five major data mining tools, namely IBM intelligent miner, SPSS Clementine, SAS enterprise miner, oracle data miner and Microsoft business intelligence development studio. Present studies focus on the performance of these tools. Results provide a review of these tools and propose a data mining middleware adopting the strengths of the tools.
format Article
author Hen, Lai Ee
Lee, Sai Peck
author_facet Hen, Lai Ee
Lee, Sai Peck
author_sort Hen, Lai Ee
title Performance analysis of data mining tools cumulating with a proposed data mining middleware
title_short Performance analysis of data mining tools cumulating with a proposed data mining middleware
title_full Performance analysis of data mining tools cumulating with a proposed data mining middleware
title_fullStr Performance analysis of data mining tools cumulating with a proposed data mining middleware
title_full_unstemmed Performance analysis of data mining tools cumulating with a proposed data mining middleware
title_sort performance analysis of data mining tools cumulating with a proposed data mining middleware
publishDate 2008
url http://eprints.um.edu.my/6836/
http://docsdrive.com/pdfs/sciencepublications/jcssp/2008/826-833.pdf
_version_ 1643687895080370176
score 13.211869

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