An XML-Enabled Association Rule Framework

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Show simple item record Feng, Ling en_US Dillon, Tharam en_US Weigand, Hans en_US Chang, Elizabeth en_US
dc.contributor.editor Marik, V; Retschitzegger, W; Stepankova, O en_US 2009-11-09T02:45:28Z 2009-11-09T02:45:28Z 2003 en_US
dc.identifier 2003001942 en_US
dc.identifier.citation Feng Ling et al. 2003, 'An XML-Enabled Association Rule Framework', Springer-Verlag Berlin Heidelberg, Germany, pp. 88-97. en_US
dc.identifier.issn 0302-9743 en_US
dc.identifier.other E1 en_US
dc.description.abstract With the sheer amount of data stored, presented and exchanged using XML nowadays, the ability to extract knowledge from XML data sources becomes increasingly important and desirable. This paper aims to integrate the newly emerging XML technology with data mining technology, using association rule mining as a case in point. Compared with traditional association mining in the well-structured world (e.g., relational databases), mining from XML data is faced with more challenges due to the inherent flexibilities of XML in both structure and semantics. The primary challenges include 1) a more complicated hierarchical data structure; 2) an ordered data context; and 3) a much bigger data size. To tackle these challenges, in this paper, we propose an extended XML-enabled association rule framework, which is flexible and powerful enough to represent both simple and complex structured association relationships inherent in XML data. en_US
dc.publisher Springer-Verlag Berlin Heidelberg en_US
dc.relation.isbasedon en_US
dc.title An XML-Enabled Association Rule Framework en_US
dc.parent Database and Expert Systems Applications en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Germany en_US
dc.identifier.startpage 88 en_US
dc.identifier.endpage 97 en_US FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference.location Prague, Czech Republic en_US
dc.for 080100 en_US
dc.personcode 0000020113 en_US
dc.personcode 030567 en_US
dc.personcode 0000020114 en_US
dc.personcode 0000018456 en_US
dc.percentage 100 en_US Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.custom International Conference on Database and Expert Systems Applications en_US 20030901 en_US
dc.location.activity Prague, Czech Republic en_US
dc.description.keywords association rule, semi-structure, XML en_US

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