The LH5 Model for Data Mining

Authors

Dimitris Parapadakis, Department of Artificial Intelligence and Interactive Multimedia, University of Westminster, UKFollow
Elia El-Darzi, Department of Information Software Systems, Harrow School of Computer Science, University of Westminster, UK

Document Type

Article

Abstract

In the age of E-Business many companies are 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 investigate 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 selflearning and is illustrated using a medical data set.

Recommended Citation

Parapadakis, Dimitris and El-Darzi, Elia, "The LH5 Model for Data Mining" (2001). ICEB 2001 Proceedings (Hong Kong, SAR China). 156.
https://aisel.aisnet.org/iceb2001/156