Towards an effective cooperation of the user and the computer for classification

Published 1 August 2000

Mihael Ankerst, Martin Ester, Hans‐Peter Kriegel

Citations178

TL;DR

A new user-centered approach to decision tree construction where the user and the computer can both contribute their strengths: the user provides domain knowledge and evaluates intermediate results of the algorithm, the computer automatically creates patterns satisfying user constraints and generates appropriate visualizations of these patterns.

Abstract

Article Free Access Share on Towards an effective cooperation of the user and the computer for classification Authors: Mihael Ankerst Institute for Computer Science, University of Munich, Oettingenstr. 67, D-80538 München, Germany Institute for Computer Science, University of Munich, Oettingenstr. 67, D-80538 München, GermanyView Profile , Martin Ester Institute for Computer Science, University of Munich, Oettingenstr. 67, D-80538 München, Germany Institute for Computer Science, University of Munich, Oettingenstr. 67, D-80538 München, GermanyView Profile , Hans-Peter Kriegel Institute for Computer Science, University of Munich, Oettingenstr. 67, D-80538 München, Germany Institute for Computer Science, University of Munich, Oettingenstr. 67, D-80538 München, GermanyView Profile Authors Info & Claims KDD '00: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data miningAugust 2000 Pages 179–188https://doi.org/10.1145/347090.347124Published:01 August 2000Publication History 123citation1,033DownloadsMetricsTotal Citations123Total Downloads1,033Last 12 Months89Last 6 weeks10 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

Keywords

Computer Science

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