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Article: An intelligent information infrastructure to support knowledge discovery

TitleAn intelligent information infrastructure to support knowledge discovery
Authors
KeywordsData reduction
Database systems
Knowledge based systems
XML
On-line analysis process (OLAP)
Issue Date2002
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/eswa
Citation
Expert Systems with Applications, 2002, v. 22 n. 1, p. 1-10 How to Cite?
AbstractThe lack of seamless data interchange and efficient data analysis hinders the formation of an effective information infrastructure that serves as the universal platform for data interchange across heterogeneous database systems. This paper proposes the design and implementation of an information infrastructure embracing the emerging eXtensible Markup Language (XML) open standard, together with an intelligent data mining technique combining On-Line Analysis Process (OLAP) and rule-based reasoning approaches to support knowledge discovery. To validate the feasibility of this hybrid approach, an information infrastructure prototype is developed and tested in a company with description of this case example covered in this paper.
DescriptionThis paper has been awarded as one of the top 25 most downloaded articles April - August 2002
Persistent Identifierhttp://hdl.handle.net/10722/74561
ISSN
2015 Impact Factor: 2.981
2015 SCImago Journal Rankings: 1.839

 

DC FieldValueLanguage
dc.contributor.authorLau, HCW-
dc.contributor.authorIp, RWL-
dc.contributor.authorChan, FTS-
dc.date.accessioned2010-09-06T07:02:33Z-
dc.date.available2010-09-06T07:02:33Z-
dc.date.issued2002-
dc.identifier.citationExpert Systems with Applications, 2002, v. 22 n. 1, p. 1-10-
dc.identifier.issn0957-4174-
dc.identifier.urihttp://hdl.handle.net/10722/74561-
dc.descriptionThis paper has been awarded as one of the top 25 most downloaded articles April - August 2002-
dc.description.abstractThe lack of seamless data interchange and efficient data analysis hinders the formation of an effective information infrastructure that serves as the universal platform for data interchange across heterogeneous database systems. This paper proposes the design and implementation of an information infrastructure embracing the emerging eXtensible Markup Language (XML) open standard, together with an intelligent data mining technique combining On-Line Analysis Process (OLAP) and rule-based reasoning approaches to support knowledge discovery. To validate the feasibility of this hybrid approach, an information infrastructure prototype is developed and tested in a company with description of this case example covered in this paper.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/eswa-
dc.relation.ispartofExpert Systems with Applications-
dc.rights© <year>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectData reduction-
dc.subjectDatabase systems-
dc.subjectKnowledge based systems-
dc.subjectXML-
dc.subjectOn-line analysis process (OLAP)-
dc.titleAn intelligent information infrastructure to support knowledge discovery-
dc.typeArticle-
dc.identifier.emailChan, FTS: ftschan@hkucc.hku.hk-
dc.identifier.authorityChan, FTS=rp00090-
dc.identifier.doi10.1016/S0957-4174(01)00044-6-
dc.identifier.scopuseid_2-s2.0-0036131515-
dc.identifier.hkuros76060-
dc.identifier.volume22-
dc.identifier.issue1-
dc.identifier.spage1-
dc.identifier.epage10-
dc.publisher.placeUnited Kingdom-

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