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Extending the Information Warehouse Framework with Data MiningMirela DANUBIANU, Dragos Mircea DANUBIANU |
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About this article
Date of Publication: 2001-04-02
Volume 1, Issue 2, Year 2001, On page(s): 60 - 60
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: Not assigned
Abstract
Competitive business pressures and a desire to leverage existing information technology investments have led many firms to explore the benefits of data mining technology. This technology is designed to help businesses discover hidden patterns in their data -- patterns that can help them understand the purchasing behavior of their key customers, detect likely credit card or insurance fraud, predict probable changes in financial markets, etc. These pages explore data mining, and its potential benefits to users. It also explains how data mining activities can be integrated within an existing user environment, including those activities that already make use of data warehousing. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
