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Extracting complete and consistent knowledge patterns from data

Record type: Conference or Workshop Item (Paper)

In this paper, it is shown how extracted patterns from data can be verified using decision tables (DTs). It is demonstrated how a complete and consistent decision table can be automatically modelled even if the extracted patterns contain anomalies. The proposed method is empirically validated on several benchmarking datasets. In addition to modelling a DT that is free of anomalies, it is shown that the DTs are sufficiently small such that the DTs can be consulted easily

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Citation

Wets, G., Vanthienen, J., Mues, C. and Timmermans, H. (1998) Extracting complete and consistent knowledge patterns from data At Annual European Workshop on Validation & Verification of Knowledge-Based Systems, in conjunction with the 6th International Conference on Principles of Knowledge Representation and Reasoning (KR'98). 02 - 05 Jun 1998.

More information

Published date: 1998
Venue - Dates: Annual European Workshop on Validation & Verification of Knowledge-Based Systems, in conjunction with the 6th International Conference on Principles of Knowledge Representation and Reasoning (KR'98), 1998-06-02 - 1998-06-05
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Identifiers

Local EPrints ID: 36406
URI: http://eprints.soton.ac.uk/id/eprint/36406
PURE UUID: 2d9a2903-c942-4111-83e9-b856b6df39ef

Catalogue record

Date deposited: 25 Apr 2007
Last modified: 17 Jul 2017 15:44

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Contributors

Author: G. Wets
Author: J. Vanthienen
Author: C. Mues
Author: H. Timmermans

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