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The integrated data mining tool MineKit and a case study of its application on video shop data

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
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: 16 Feb 2021 12:32 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/21997 (The current URI for this page, for reference purposes)
Freitas, Alex Alves: https://orcid.org/0000-0001-9825-4700
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