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1998
IEEE

Data-Mining: A Tightly-Coupled Implementation on a Parallel Database Server

9 years 5 months ago
Data-Mining: A Tightly-Coupled Implementation on a Parallel Database Server
Due to the increasingly di culty 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 t in memory, some solutions do not apply and a database system may be required rather than at les. 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 bene ts of this integration were obtained, despite the di culties to process a complex application.
Mauro Sousa, Marta Mattoso, Nelson F. F. Ebecken
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1998
Where DEXAW
Authors Mauro Sousa, Marta Mattoso, Nelson F. F. Ebecken
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