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.
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)|
|Research Community:||University of Westminster > Electronics and Computer Science, School of|
|Deposited On:||23 Sep 2005|
|Last Modified:||18 Feb 2013 14:51|
Repository Staff Only: item control page