Keywords

audit selection rules, genetic algorithms, auditing, data approach

Abstract

The construction of expert systems typically require the availability of expertise that can be modeled. However, there are many important problems where no expertise exists, yet there is a wealth of data indicating results in different situations. Machine learning algorithms attempt to discover rules which capture the regularities that exists in such data.

Document Type

Peer-Reviewed Article

Publication Date

1992

Language

English

College

Marriott School of Management

Department

Accountancy

University Standing at Time of Publication

Associate Professor

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