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Proceedings Ninth International Workshop on Database and Expert Systems Applications (Cat. No.98EX130) (1998)
Vienna, Austria
Aug. 26, 1998 to Aug. 28, 1998
ISBN: 0-8186-8353-8
pp: 711
ABSTRACT
Due to the increasingly difficulty of discovering patterns in real-world databases using only conventional OLAP tools, an automated process such as data mining is currently essential. As data mining over large data sets can take a prohibitive amount of time related to the computational complexity of the algorithms, parallel processing has often been used as a solution. However, when data does not fit in memory, some solutions do not apply and a database system may be required rather than flat files. Most implementations use the database system loosely coupled with the data mining algorithms. In this work we address the data consuming activities through parallel processing and data fragmentation on the database server, providing a tight integration with data mining techniques. Experimental results showing the potential benefits of this integration were obtained, despite the difficulties to process a complex application.
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CITATION

M. Sousa, M. Mattoso and N. F. Ebecken., "Data Mining: A Tightly-Coupled Implementation on a Parallel Database Server," Proceedings Ninth International Workshop on Database and Expert Systems Applications (Cat. No.98EX130)(DEXA), Vienna, Austria, 1998, pp. 711.
doi:10.1109/DEXA.1998.707486
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