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The LH5 model for data mining

By D. Parapadakis and E. El-Darzi

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

Topics: UOWSAT
Year: 2001
OAI identifier: oai:westminsterresearch.wmin.ac.uk:503
Provided by: WestminsterResearch

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