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Data‐mining algorithms in Oracle9i and Microsoft SQL Server

Data‐mining algorithms in Oracle9i and Microsoft SQL Server In today's competitive marketplace, it is crucial that companies manage their most valuable assets – customers and customers' information that is achieved via using data mining applications that sift through massive amounts of data and find hidden information – that help better understand customers and anticipate their behaviour. This paper aims at discussing data mining methods in Oracle, widely used for large corporate business, and Microsoft data mining applications, commonly used within SMEs. It discusses Oracle9i and Microsoft Data Mining algorithms which provides a powerful, scalable infrastructure for building applications that automate the extraction of business intelligence and its integration into other applications. It addresses the capabilities and limitations of data mining tools within Oracle9i and Microsoft, highlighting how the intelligent tools are beneficial for different scales and sectors of business and industry. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Campus-Wide Information Systems Emerald Publishing

Data‐mining algorithms in Oracle9i and Microsoft SQL Server

Campus-Wide Information Systems , Volume 21 (3): 7 – Jul 1, 2004

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Publisher
Emerald Publishing
Copyright
Copyright © 2004 Emerald Group Publishing Limited. All rights reserved.
ISSN
1065-0741
DOI
10.1108/10650740410544036
Publisher site
See Article on Publisher Site

Abstract

In today's competitive marketplace, it is crucial that companies manage their most valuable assets – customers and customers' information that is achieved via using data mining applications that sift through massive amounts of data and find hidden information – that help better understand customers and anticipate their behaviour. This paper aims at discussing data mining methods in Oracle, widely used for large corporate business, and Microsoft data mining applications, commonly used within SMEs. It discusses Oracle9i and Microsoft Data Mining algorithms which provides a powerful, scalable infrastructure for building applications that automate the extraction of business intelligence and its integration into other applications. It addresses the capabilities and limitations of data mining tools within Oracle9i and Microsoft, highlighting how the intelligent tools are beneficial for different scales and sectors of business and industry.

Journal

Campus-Wide Information SystemsEmerald Publishing

Published: Jul 1, 2004

Keywords: Data handling; Systems theory; Control; Information management

References