Predictive data mining based on similarity and clustering methods.
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 predicti...
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Format: | Article |
Language: | English |
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Penerbit UTM Press
2000
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Online Access: | http://eprints.utm.my/8711/1/SarjonDefit2000_PredictiveDataMiningBasedOnSimilarity.pdf |
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author | Defit, Sarjon Md. Sap, Mohd. Noor |
author_facet | Defit, Sarjon Md. Sap, Mohd. Noor |
author_sort | Defit, Sarjon |
collection | ePrints |
description | 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. |
first_indexed | 2024-03-05T18:14:08Z |
format | Article |
id | utm.eprints-8711 |
institution | Universiti Teknologi Malaysia - ePrints |
language | English |
last_indexed | 2024-03-05T18:14:08Z |
publishDate | 2000 |
publisher | Penerbit UTM Press |
record_format | dspace |
spelling | utm.eprints-87112017-11-01T04:17:52Z http://eprints.utm.my/8711/ Predictive data mining based on similarity and clustering methods. Defit, Sarjon Md. Sap, Mohd. Noor QA75 Electronic computers. Computer science 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. Penerbit UTM Press 2000-12 Article PeerReviewed application/pdf en http://eprints.utm.my/8711/1/SarjonDefit2000_PredictiveDataMiningBasedOnSimilarity.pdf 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 http://portal.psz.utm.my/psz/index.php?option=com_content&task=view&id=128&Itemid=305&PHPSESSID=81b664e998055f65b4ccff8f61bf7cb2 |
spellingShingle | QA75 Electronic computers. Computer science Defit, Sarjon Md. Sap, Mohd. Noor Predictive data mining based on similarity and clustering methods. |
title | Predictive data mining based on similarity and clustering methods. |
title_full | Predictive data mining based on similarity and clustering methods. |
title_fullStr | Predictive data mining based on similarity and clustering methods. |
title_full_unstemmed | Predictive data mining based on similarity and clustering methods. |
title_short | Predictive data mining based on similarity and clustering methods. |
title_sort | predictive data mining based on similarity and clustering methods |
topic | QA75 Electronic computers. Computer science |
url | http://eprints.utm.my/8711/1/SarjonDefit2000_PredictiveDataMiningBasedOnSimilarity.pdf |
work_keys_str_mv | AT defitsarjon predictivedataminingbasedonsimilarityandclusteringmethods AT mdsapmohdnoor predictivedataminingbasedonsimilarityandclusteringmethods |