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Performance evaluation of a knowledge-based system for subsidence management

Anumba, C.J. / Scott, D.

This paper describes the approach adopted in the evaluation of a knowledge-based system for subsidence management, subsidence case management system (SCAMS). It introduces general principles in the evaluation of knowledge-based systems, highlighting some of the various techniques available. The criteria adopted for SCAMS’s evaluation are then established, followed by a description of the evaluation methodology. The paper concludes with an appraisal of the evaluation process and a discussion of its outcome.

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Performance evaluation of a knowledge-based system for subsidence management

Anumba, C.J. / Scott, D.

This paper describes the approach adopted in the evaluation of a knowledge-based system for subsidence management, subsidence case management system (SCAMS). It introduces general principles in the evaluation of knowledge-based systems, highlighting some of the various techniques available. The criteria adopted for SCAMS’s evaluation are then established, followed by a description of the evaluation methodology. The paper concludes with an appraisal of the evaluation process and a discussion of its outcome.

Performance evaluation of a knowledge-based system for subsidence management

Anumba, C.J. / Scott, D.

This paper describes the approach adopted in the evaluation of a knowledge-based system for subsidence management, subsidence case management system (SCAMS). It introduces general principles in the evaluation of knowledge-based systems, highlighting some of the various techniques available. The criteria adopted for SCAMS’s evaluation are then established, followed by a description of the evaluation methodology. The paper concludes with an appraisal of the evaluation process and a discussion of its outcome.

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Order at Subito €

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Document information

Title:

Performance evaluation of a knowledge-based system for subsidence management

Contributors:

Anumba, C.J. (author) / Scott, D. (author)

Published in:

Structural Survey ; 19 ; 222-232

Publication date:

2001-12-01

Size:

11 pages

ISSN:

DOI:

https://doi.org/10.1108/02630800110412462

Type of media:

Article (Journal)

Type of material:

Electronic Resource

Language:

English

Keywords:

Expert systems , Evaluation , Subsidence , Knowledge-based systems

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