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Book chapter 4 Citations Peer Reviewed

Data Mining and Business Intelligence: A Comparative, Historical Perspective

Azevedo, Ana. Corresponding author: Azevedo, Ana
ISLA — Instituto Politécnico de Gestão e Tecnologia
Integration of Data Mining in Business Intelligence Systems, 2015 Published by: IGI Global

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Abstract
Data Mining (DM) is being applied with success in Business Intelligence (BI) environments, and several examples of applications can be found. BI and DM have different roots and, as a consequence, have significantly different characteristics. DM came up from scientific environments; thus, it is not business oriented. DM tools still demand heavy work in order to obtain the intended results. On the contrary, BI is rooted in industry and business. As a result, BI tools are user-friendly. This chapter reflects on this difference from a historical perspective. Starting with a separated historical perspective of each one, BI and DM, the author then discusses how they converged into the current situation, when DM is used, and integrated, in BI environments with success.

Keywords

#Data mining #Business intelligence #Perspective (graphical) #Order (exchange) #Data Science #Computer science #Knowledge Management

Bibliographic Details

Publication Type Book chapter
Publication Year 2015
Journal / Conference / Work Integration of Data Mining in Business Intelligence Systems
ISSN 2327-3429
ISBN 9781466664777
Publisher IGI Global
Publication Status Published

ISLA Authors & Affiliations

A
Ana Isabel Rojão Lourenço Azevedo
aazevedo@iscap.ipp.pt ID: D913-646F-CE08
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