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» Heuristic Measures of Interestingness
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SIGKDD
2010
125views more  SIGKDD 2010»
13 years 3 months 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...
HICSS
2008
IEEE
121views Biometrics» more  HICSS 2008»
14 years 3 months ago
The Impact of Directionality in Predications on Text Mining
The number of publications in biomedicine is increasing enormously each year. To help researchers digest the information in these documents, text mining tools are being developed ...
Gondy Leroy, Marcelo Fiszman, Thomas C. Rindflesch
CIKM
2008
Springer
13 years 10 months ago
Dynamic faceted search for discovery-driven analysis
We propose a dynamic faceted search system for discoverydriven analysis on data with both textual content and structured attributes. From a keyword query, we want to dynamically s...
Debabrata Dash, Jun Rao, Nimrod Megiddo, Anastasia...
PAKDD
2004
ACM
119views Data Mining» more  PAKDD 2004»
14 years 1 months ago
Mining Negative Rules Using GRD
GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support constraint. Rather, the user...
Dhananjay R. Thiruvady, Geoffrey I. Webb
KDD
1997
ACM
131views Data Mining» more  KDD 1997»
14 years 22 days 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