Universiti Teknologi Malaysia Institutional Repository

Predictive data mining based on similarity and clustering methods.

Defit, Sarjon and Md. Sap, Mohd. Noor (2000) Predictive data mining based on similarity and clustering methods. Jurnal Teknologi Maklumat, 12 (2). pp. 55-74. ISSN 0128-3790

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Official URL: http://portal.psz.utm.my/psz/index.php?option=com_...

Abstract

Predictive data mining is an attractive goal in data mining. It has wide application, including credit evaluation, sales promotion, financial forecasting and market trend analysis. In this paper we propose a predictive data mining model based on the combination of similarity, clustering and predictive modeling. This model is implemented and tested using real estate data. Our study concludes that our predictive data mining model can improve the prediction ability by using all attributes in the different clusters with the nearest distance as input fields. In this paper we explain the importance of data mining, similarity, the proposed predictive data mining model, the testing of the model, discussion and conclusion.

Item Type:Article
Uncontrolled Keywords:data mining, predictive data mining, similarity, clustering, predictive modeling
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:8711
Deposited By: Ms Zalinda Shuratman
Deposited On:11 May 2009 00:42
Last Modified:02 Jun 2010 01:57

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