JOURNAL ARTICLE

Measuring the interestingness of discovered knowledge: A principled approach

Robert J. HildermanHoward J. Hamilton

Year: 2003 Journal:   Intelligent Data Analysis Vol: 7 (4)Pages: 347-382   Publisher: IOS Press

Abstract

When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, various techniques have been suggested to reduce and/or order the patterns pr

Keywords:
Computer science Data science

Metrics

38
Cited By
2.02
FWCI (Field Weighted Citation Impact)
68
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
Advanced Database Systems and Queries
Physical Sciences →  Computer Science →  Computer Networks and Communications
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