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Please use this identifier to cite or link to this item: https://doi.org/10.1109/MIS.2004.1274908
DC FieldValue
dc.titleCleaning the Spurious Links in Data
dc.contributor.authorLee, M.L.
dc.contributor.authorHsu, W.
dc.contributor.authorKothari, V.
dc.date.accessioned2013-07-04T07:39:45Z
dc.date.available2013-07-04T07:39:45Z
dc.date.issued2004
dc.identifier.citationLee, M.L.,Hsu, W.,Kothari, V. (2004). Cleaning the Spurious Links in Data. IEEE Intelligent Systems 19 (2) : 28-33. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/MIS.2004.1274908" target="_blank">https://doi.org/10.1109/MIS.2004.1274908</a>
dc.identifier.issn10947167
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39354
dc.description.abstractData cleaning includes detection and removal of errors and inconsistencies from data which includes outlier detection, noise handling for classification and duplicate elimination. Spurious links is a class of erroneous data where real-world entity has multiple links. The existence of spurious links lead to confusion and misrepresentation in data records representing the entity. The context information is used to identify spurious links in which data records are identified and set of attributes constituting each record's context is determined.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/MIS.2004.1274908
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/MIS.2004.1274908
dc.description.sourcetitleIEEE Intelligent Systems
dc.description.volume19
dc.description.issue2
dc.description.page28-33
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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