The LH5 model for data mining

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.

Book review: Philosophy and the city: classic to contemporary writings

Book Review: Philosophy and the City: Classic to Contemporary Writings Sharon M. Meagher (Ed.), 2007 Albany, NY: State University of New York Press 309 pp. US$75.50 hardback; US$24.95 paperback ISBN 978 0 7914 7308 5 paperback; 978 0 7914 7307 8 hardback