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dc.contributor.authorAwrangjeb, M
dc.contributor.authorIslam, MM
dc.date.accessioned2020-03-02T03:47:01Z
dc.date.available2020-03-02T03:47:01Z
dc.date.issued2001
dc.identifier.urihttp://hdl.handle.net/10072/392037
dc.description.abstractData mining refers to extracting or “mining” knowledge from large amounts of data. It is also called a method of “knowledge presentation” where visualization and knowledge representation techniques are used to present the mined knowledge to the user. Thus, it plays an important role in extracting spatial patterns, features. It also performs presenting data regularity concisely and at higher conceptual levels to recognize spatial databases to accommodate data semantics as well as to achieve better performance, develops a visual feedback querying system to support data mining, it is an essential process where intelligent methods are applied in order to extract data patterns. In this article, a data mining algorithm is explored which is named CLAUMS and proved to be more efficient and effective than existing algorithm PAM. The proposed CLAUMS algorithm is more efficient comparing with respect to both time and memory complexity than PAM
dc.publisherIEEE
dc.publisher.urihttp://www.iccit.org/
dc.relation.ispartofconferencenameInternational Conference on Computer and Information Technology (ICCIT)
dc.relation.ispartofconferencetitleInternational Conference on Computer and Information Technology (ICCIT)
dc.relation.ispartofdatefrom2001-12-28
dc.relation.ispartofdateto2001-12-29
dc.relation.ispartoflocationDhaka, Bangladesh
dc.relation.ispartofpagefrom72
dc.relation.ispartofpageto76
dc.titleAn Efficient and Effective Method for Data Mining
dc.typeConference output
dcterms.bibliographicCitationAwrangjeb, M; Islam, MM, An Efficient and Effective Method for Data Mining, International Conference on Computer and Information Technology (ICCIT), 2001, pp. 72-76
dc.date.updated2020-02-28T05:28:04Z
dc.description.versionPost-print
gro.rights.copyright© 2001 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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gro.griffith.authorAwrangjeb, Mohammad


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