The LH5 model for data mining

Parapadakis, Dimitris and El-Darzi, Elia (2001) The LH5 model for data mining. In: First International Conference of Electronic Business, 19-21 Dec 2001, Hong Kong.

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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.

Item Type: Conference or Workshop Item (Paper)
Subjects: University of Westminster > Science and Technology > Electronics and Computer Science, School of (No longer in use)
Depositing User: Users 4 not found.
Date Deposited: 23 Sep 2005
Last Modified: 18 Feb 2013 14:51
URI: http://westminsterresearch.wmin.ac.uk/id/eprint/503

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