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» Mining the Most Interesting Rules
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SAC
2011
ACM
12 years 10 months ago
RuleGrowth: mining sequential rules common to several sequences by pattern-growth
Mining sequential rules from large databases is an important topic in data mining fields with wide applications. Most of the relevant studies focused on finding sequential rules a...
Philippe Fournier-Viger, Roger Nkambou, Vincent Sh...
AUSAI
2004
Springer
13 years 11 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank
AUSDM
2006
Springer
78views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Visualization of Attractive and Repulsive Zones Between Variables
This paper presents a preprocessing step in mining association rules which uses tables to summarize synthetically the way variables interact by highlighting any zones which are at...
Sylvie Guillaume, Leila Nemmiche Alachaher
KDD
2001
ACM
1203views Data Mining» more  KDD 2001»
14 years 7 months ago
Application of Data Mining Techniques for Medical Image Classification
Breast cancer represents the second leading cause of cancer deaths in women today and it is the most common type of cancer in women. This paper presents some experiments for tumou...
Maria-Luiza Antonie, Osmar R. Zaïane, Alexand...
JCP
2008
104views more  JCP 2008»
13 years 7 months ago
Discovery of Sequential Patterns Coinciding with Analysts' Interests
This paper proposes a new sequential pattern mining method. The method introduces a new evaluation criterion satisfying the Apriori property. The criterion is calculated by the fre...
Shigeaki Sakurai, Youichi Kitahara, Ryohei Orihara...