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From knowledge discovery to implementation: a business intelligence approach using neural network rule extraction and decision tables

From knowledge discovery to implementation: a business intelligence approach using neural network rule extraction and decision tables
From knowledge discovery to implementation: a business intelligence approach using neural network rule extraction and decision tables
The advent of knowledge discovery in data (KDD) technology has created new opportunities to analyze huge amounts of data. However, in order for this knowledge to be deployed, it first needs to be validated by the end-users and then implemented and integrated into the existing business and decision support environment. In this paper, we propose a framework for the development of business intelligence (BI) systems which centers on the use of neural network rule extraction and decision tables. Two different types of neural network rule extraction algorithms, viz. Neurolinear and Neurorule, are compared, and subsequent implementation strategies based on decision tables are discussed.
3540304657
3782
483-495
Springer
Mues, Christophe
07438e46-bad6-48ba-8f56-f945bc2ff934
Baesens, Bart
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Setiono, Rudy
98ca7376-c02e-4f65-a2df-bb09cc0c6e6b
Vanthienen, Jan
6f3d818f-0fce-46fa-966b-160e645caf6d
Althoff, Klaus-Dieter
Dengel, Andreas
Bergmann, Ralph
Nick, Markus
Roth-Berghofer, Thomas
Mues, Christophe
07438e46-bad6-48ba-8f56-f945bc2ff934
Baesens, Bart
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Setiono, Rudy
98ca7376-c02e-4f65-a2df-bb09cc0c6e6b
Vanthienen, Jan
6f3d818f-0fce-46fa-966b-160e645caf6d
Althoff, Klaus-Dieter
Dengel, Andreas
Bergmann, Ralph
Nick, Markus
Roth-Berghofer, Thomas

Mues, Christophe, Baesens, Bart, Setiono, Rudy and Vanthienen, Jan (2005) From knowledge discovery to implementation: a business intelligence approach using neural network rule extraction and decision tables. Althoff, Klaus-Dieter, Dengel, Andreas, Bergmann, Ralph, Nick, Markus and Roth-Berghofer, Thomas (eds.) In Professional Knowledge Management: Third Biennial Conference, WM 2005, Kaiserslautern, Germany, April 10-13, 2005, Revised Selected Papers. Springer. pp. 483-495 . (doi:10.1007/11590019_55).

Record type: Conference or Workshop Item (Paper)

Abstract

The advent of knowledge discovery in data (KDD) technology has created new opportunities to analyze huge amounts of data. However, in order for this knowledge to be deployed, it first needs to be validated by the end-users and then implemented and integrated into the existing business and decision support environment. In this paper, we propose a framework for the development of business intelligence (BI) systems which centers on the use of neural network rule extraction and decision tables. Two different types of neural network rule extraction algorithms, viz. Neurolinear and Neurorule, are compared, and subsequent implementation strategies based on decision tables are discussed.

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More information

Published date: 2005
Venue - Dates: Professional Knowledge Management: Third Biennial Conference, WM 2005, 2005-04-10 - 2005-04-13

Identifiers

Local EPrints ID: 36522
URI: http://eprints.soton.ac.uk/id/eprint/36522
ISBN: 3540304657
PURE UUID: 6666d139-bd26-4ee2-9738-2b9cdf7f9185
ORCID for Bart Baesens: ORCID iD orcid.org/0000-0002-5831-5668

Catalogue record

Date deposited: 23 May 2006
Last modified: 25 Jul 2019 00:35

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Contributors

Author: Christophe Mues
Author: Bart Baesens ORCID iD
Author: Rudy Setiono
Author: Jan Vanthienen
Editor: Klaus-Dieter Althoff
Editor: Andreas Dengel
Editor: Ralph Bergmann
Editor: Markus Nick
Editor: Thomas Roth-Berghofer

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