JOURNAL ARTICLE

Mining optimized gain rules for numeric attributes

Abstract

Article Free Access Share on Mining optimized gain rules for numeric attributes Authors: Sergey Brin Stanford University, Palo Alto Stanford University, Palo AltoView Profile , Rajeev Rastogi Bell Labs, Murray Hill Bell Labs, Murray HillView Profile , Kyuseok Shim Bell Labs, Murray Hill Bell Labs, Murray HillView Profile Authors Info & Claims KDD '99: Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data miningAugust 1999 Pages 135–144https://doi.org/10.1145/312129.312217Published:01 August 1999Publication History 12citation533DownloadsMetricsTotal Citations12Total Downloads533Last 12 Months23Last 6 weeks1 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 Computer science World Wide Web Information retrieval

Metrics

23
Cited By
6.78
FWCI (Field Weighted Citation Impact)
23
Refs
0.96
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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