Neto, Joel Larocca and Santos, Alexandre D. and Kaestner, Celso A.A. and Freitas, Alex Alves (2000) The integrated data mining tool MineKit and a case study of its application on video shop data. In: Fyfe, Colin, ed. Proceedings of the ICSC Symposia on Neural Computation. ICSC Academic Press, Millet, Alberta, Canada. ISBN 978-3-906454-21-4. (KAR id:21997)
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Abstract
The second goal of this paper is to report the result of evaluating MineKit in a real-world data set. This case study is relevant for data mining mainly for two reasons. First, the original data set, li ke a typical realworld data set, was not previously prepared for data mining activities, so that we had to spent a significant time preparing the data. Hence, we have actuall y gone through the most time-consuming phase of the knowledge discovery process. This issue is usually ignored in the data mining literature, which focus on the data mining phase only.
Item Type: | Book section |
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Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Mark Wheadon |
Date Deposited: | 09 Sep 2009 14:15 UTC |
Last Modified: | 05 Nov 2024 10:00 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/21997 (The current URI for this page, for reference purposes) |
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