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dc.contributor.authorHadzic, Fedja
dc.contributor.authorHecker, Michael
dc.contributor.authorTagerelli, A.
dc.contributor.editorDeyi Li, Bing Liu and Charu C Aggarwal
dc.date.accessioned2017-01-30T10:43:09Z
dc.date.available2017-01-30T10:43:09Z
dc.date.created2012-03-07T20:00:59Z
dc.date.issued2011
dc.identifier.citationHadzic, Fedja and Hecker, Michael and Tagerelli, Andrea. 2011. XML document clustering using structure-preserving flat representation of XML content and structure, in Li, Deyi and Liu, Bing and Aggarwal, Charu C. (ed), 7th International Conference on Advanced Data Mining and Applications (ADMA 2011), Dec 17-19 2011, pp. 403-416. Beijing, China: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/4997
dc.description.abstract

With the increasing use of XML in many domains, XML document clustering has been a central research topic in semistructured data management and mining. Due to the semistructured nature of XML data, the clustering problem becomes particularly challenging, mainly because structural similarity measures specifically designed to deal with tree/graph-shaped data can be quite expensive. Specialized clustering techniques are being developed to account for this difficulty, however most of them still assume that XML documents are represented using a semistructured data model. In this paper we take a simpler approach whereby XML structural aspects are extracted from the documents to generate a flat data format to which well-established clustering methods can be directly applied. Hence, the expensive process of tree/graph data mining is avoided, while the structural properties are still preserved. Our experimental evaluation using a number of real world datasets and comparing with existing structural clustering methods, has demonstrated the significance of our approach.

dc.publisherSpringer
dc.titleXML document clustering using structure-preserving flat representation of XML content and structure
dc.typeConference Paper
dcterms.source.titleProceedings of the 7th international conference on advanced data mining and applications (ADMA 2011) 
dcterms.source.seriesProceedings of the 7th international conference on advanced data mining and applications (ADMA 2011) 
dcterms.source.conference7th International Conference on Advanced Data Mining and Applications (ADMA 2011) 
dcterms.source.conference-start-dateDec 17 2011
dcterms.source.conferencelocationBeijing, China
dcterms.source.placeHeidelberg
curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusFulltext not available


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