Cleaning the Spurious Links in Data

Please use this identifier to cite or link to this item: https://doi.org/10.1109/MIS.2004.1274908

Title:	Cleaning the Spurious Links in Data
Authors:	Lee, M.L. Hsu, W. Kothari, V.
Issue Date:	2004
Citation:	Lee, M.L.,Hsu, W.,Kothari, V. (2004). Cleaning the Spurious Links in Data. IEEE Intelligent Systems 19 (2) : 28-33. ScholarBank@NUS Repository. https://doi.org/10.1109/MIS.2004.1274908
Abstract:	Data 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.
Source Title:	IEEE Intelligent Systems
URI:	http://scholarbank.nus.edu.sg/handle/10635/39354
ISSN:	10947167
DOI:	10.1109/MIS.2004.1274908
Appears in Collections:	Staff Publications

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