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» Interestingness measures for data mining: A survey
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PKDD
1999
Springer
106views Data Mining» more  PKDD 1999»
13 years 10 months ago
Heuristic Measures of Interestingness
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, variou...
Robert J. Hilderman, Howard J. Hamilton
ROCAI
2004
Springer
13 years 11 months ago
Learning Interestingness Measures in Terminology Extraction. A ROC-based approach
Abstract. In the field of Text Mining, a key phase in data preparation is concerned with the extraction of terms, i.e. collocation of words attached to specific concepts (e.g. Ph...
Mathieu Roche, Jérôme Azé, Yve...
PKDD
2007
Springer
112views Data Mining» more  PKDD 2007»
13 years 11 months ago
Association Mining in Large Databases: A Re-examination of Its Measures
Abstract. In the literature of data mining and statistics, numerous interestingness measures have been proposed to disclose succinct object relationships of association patterns. H...
Tianyi Wu, Yuguo Chen, Jiawei Han
KDD
1997
ACM
131views Data Mining» more  KDD 1997»
13 years 9 months ago
Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach
An approach to defining actionability as a measure of interestingness of patterns is proposed. This approach is based on the concept of an action hierarchy which is defined as a t...
Gediminas Adomavicius, Alexander Tuzhilin
SIGKDD
2010
125views more  SIGKDD 2010»
13 years 11 days ago
A framework for mining interesting pattern sets
This paper suggests a framework for mining subjectively interesting pattern sets that is based on two components: (1) the encoding of prior information in a model for the data min...
Tijl De Bie, Kleanthis-Nikolaos Kontonasios, Eirin...