JOURNAL ARTICLE

Extracting optimal association rules over numeric attributes

Abstract

Article Free Access Share on Extracting optimal association rules over numeric attributes Author: Alan P. Sprague Department of Computer and Information Sciences, University of Alabama at Birmingham, Birmingham, Alabama Department of Computer and Information Sciences, University of Alabama at Birmingham, Birmingham, AlabamaView Profile Authors Info & Claims ACM-SE 36: Proceedings of the 36th annual Southeast regional conferenceApril 1998 Pages 59–63https://doi.org/10.1145/275295.275305Online:01 April 1998Publication History 1citation288DownloadsMetricsTotal Citations1Total Downloads288Last 12 Months3Last 6 weeks0 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:
Citation Association rule learning Computer science Association (psychology) Library science Information retrieval World Wide Web Operations research Data mining Engineering Psychology

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4
Cited By
0.82
FWCI (Field Weighted Citation Impact)
11
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
Rough Sets and Fuzzy Logic
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Imbalanced Data Classification Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence

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