IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Expanding Data Mining Power with System Dynamics

Expanding Data Mining Power with System Dynamics
View Sample PDF
Author(s): Edilberto Casado (Gerens Escuela de Gestion y Economica, Peru)
Copyright: 2005
Pages: 7
Source title: Encyclopedia of Information Science and Technology, First Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-553-5.ch204

Purchase

View Expanding Data Mining Power with System Dynamics on the publisher's website for pricing and purchasing information.

Abstract

Business intelligence (BI) is a key topic in business today, since it is focused on strategic decision making and on the search of value from business activities through empowering a “forward-thinking” view of the world. From this perspective, one of the most valuable concepts within BI is the “knowledge discovery in databases” or “data mining,” defined as “the process of discovering meaningful new correlations, patterns, and trends by sifting through large amounts of data stored in repositories, using pattern recognition technologies as well as statistical and mathematical techniques” (SPSS, 1997).

Related Content

Adeyinka Tella, Oluwakemi Titilola Olaniyi, Aderinola Ololade Dunmade. © 2021. 24 pages.
Md. Maidul Islam. © 2021. 17 pages.
Peterson Dewah. © 2021. 23 pages.
Lungile Precious Luthuli, Thobekile K. Buthelezi. © 2021. 14 pages.
Delight Promise Udochukwu, Chidimma Oraekwe. © 2021. 13 pages.
Julie Moloi. © 2021. 18 pages.
Mandisa Msomi, Lungile Preciouse Luthuli, Trywell Kalusopa. © 2021. 17 pages.
Body Bottom