The LH5 model for data mining

Parapadakis, D. and El-Darzi, E. 2001. The LH5 model for data mining. First International Conference of Electronic Business. Hong Kong 19-21 Dec 2001 pp. 467-478

TitleThe LH5 model for data mining
AuthorsParapadakis, D. and El-Darzi, E.
TypeConference paper
Abstract

In the age of E-Business many companies faced with massive data sets that must be analysed for gaining a competitive edge. these data sets are in many instances incomplete and quite often not of very high quality. Although statistical analysis can be used to pre-process these data sets, this technique has its own limitations. In this paper we are presenting a system - and its underlying model - that can be used to test the integrity of existing data and pre-process the data into clearer data sets to be mined. LH5 is a rule-based system, capable of self-learning and is illustrated using a medical data set.

Year2001
ConferenceFirst International Conference of Electronic Business
Publication dates
Published2001
Journal1st International Conference on Electronic Business (ICEB 2001), Hong Kong
ISSN1368-0040
Page range467-478

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