Abstract
This paper presents DIPS, a database using an intelligent processing system. DIPS is a generic data mining tool for use with real-world applications. The tool is developed in Java and has access to an Oracle server for data storage. A Control GUI facilitates data manipulation, and the tool incorporates a set of algorithms for general data mining and clustering applications including e.g. neural networks and evolutionary computation techniques. Case studies are reported incorporating a rule-based genetic clustering algorithm in experimental and real-world applications.
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© 2002 Springer-Verlag London
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Zalzala, A.M.S., Al-Zain, A., Sarafis, I. (2002). A Data Mining Tool Using An Intelligent Processing System with a Clustering Application. In: Parmee, I.C. (eds) Adaptive Computing in Design and Manufacture V. Springer, London. https://doi.org/10.1007/978-0-85729-345-9_28
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DOI: https://doi.org/10.1007/978-0-85729-345-9_28
Publisher Name: Springer, London
Print ISBN: 978-1-85233-605-9
Online ISBN: 978-0-85729-345-9
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