The Definition and Estimation of Feature Salience in Databases

G. Richards, K. Brazier, W. Wang

Research output: Contribution to conferencePaper


Feature salience estimation is the task of quantifying the relative importance of individual features, in the presence of other features, in determining the classes of records in a dataset. This is an important task in the field of knowledge discovery in databases as it can provide real insight into the data. It is often very valuable for users to be able to determine which are the most important features in a dataset. For example, medical practitioners may wish to identify the salience of risk factors for a disease. Furthermore, salience estimation can be used as a basis for feature subset selection. In this paper we present a simple definition of feature salience together with a method that can be used to estimate this salience. The effectiveness, and limits, of the method were investigated by applying it to five synthetic datasets with known properties.
Original languageEnglish
Number of pages6
Publication statusPublished - Feb 2005
EventConference on Databases and Applications - Innsbruck, Austria
Duration: 14 Feb 200516 Feb 2005


ConferenceConference on Databases and Applications

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