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dc.contributor.authorGoh, Kwang Leng Alex
dc.contributor.authorRavi, Kumar
dc.contributor.authorSingh, Ashutosh Kumar
dc.contributor.editorJohn Wu (Contact)
dc.date.accessioned2017-01-30T13:25:47Z
dc.date.available2017-01-30T13:25:47Z
dc.date.created2015-03-03T20:16:10Z
dc.date.issued2012
dc.identifier.citationGoh, K.L.A. and Ravi, K. and Singh, A.K. 2012. Incorporating weight properties in detection of web spam, in 2nd IEEE International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE), Aug 14-15 2012, pp. 18-21. Jakarta, Indonesia: Institute of Electrical and Electronics Engineers.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/31508
dc.identifier.doi10.1109/URKE.2012.6319540
dc.description.abstract

This paper focus on incorporating weight properties to enhance Web spam detection algorithms. Our proposed methodology adds this feature into Anti-TrustRank algorithm and call it weighted Anti-TrustRank algorithm to show the effectiveness of the weight properties using a new metric. Experiments are conducted on WEBSPAM-UK2006, a public Web spam dataset and have shown that weighted Anti-TrustRank significantly outperforms Anti-TrustRank algorithm up to 37.85%.

dc.publisherInstitute of Electrical and Electronics Engineers
dc.titleIncorporating weight properties in detection of web spam
dc.typeConference Paper
dcterms.source.startPage18
dcterms.source.endPage21
dcterms.source.titleProceeding of 2nd IEEE International Conference on Uncertainty Reasoning and Knowledge Engineering
dcterms.source.seriesProceeding of 2nd IEEE International Conference on Uncertainty Reasoning and Knowledge Engineering
dcterms.source.isbn978-1-4673-1459-6
dcterms.source.conference2nd IEEE International Conference on Uncertainty Reasoning and Knowledge Engineering
dcterms.source.conference-start-dateAug 14 2012
dcterms.source.conferencelocationJakarta, Indonesia
dcterms.source.placeUnited States
curtin.departmentCurtin Sarawak
curtin.accessStatusFulltext not available


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