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
Official URL: http://portal.psz.utm.my/psz/index.php?option=com_...
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.
|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)|
|Deposited By:||Ms Zalinda Shuratman|
|Deposited On:||11 May 2009 00:42|
|Last Modified:||02 Jun 2010 01:57|
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