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Data mining technique for expertise search in a special interest group knowledge portal

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3 Author(s)
Ahmad, W.M.Z.W. ; Sch. of Comput. Sci., Univ. Sains Malaysia, Minden, Malaysia ; Sulaiman, S. ; Yusof, U.K.

The Internet contributes to the development of electronic community (e-community) portals. Such portals become an indispensable platform for members especially for a Special Interest Groups (SIG) to share knowledge and expertise in their respective fields. Finding expertise over the e-community portal will help interested people and researchers to identify other experts, working in the same area. However, it is quite a cumbersome task to search such expertise in the portal. In order to find an expert, expertise data mining could be a solution to ease the search of experts. Performing effective data mining technique will help to analyze and measure expertise level accurately in a SIG portal. This paper proposes a method called Expertise Data Mining (EDM) that comprises a few techniques for expertise search in a SIG portal. It expects to improve the finding of experts among the members of a SIG e-community.

Published in:

Data Mining and Optimization (DMO), 2011 3rd Conference on

Date of Conference:

28-29 June 2011

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