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» Heuristic Measures of Interestingness
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SDM
2009
SIAM
111views Data Mining» more  SDM 2009»
14 years 5 months ago
A New Constraint for Mining Sets in Sequences.
Discovering interesting patterns in event sequences is a popular task in the field of data mining. Most existing methods try to do this based on some measure of cohesion to deter...
Bart Goethals, Boris Cule, Céline Robardet
KDD
2001
ACM
150views Data Mining» more  KDD 2001»
14 years 9 months ago
Empirical bayes screening for multi-item associations
This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
William DuMouchel, Daryl Pregibon
CORR
2010
Springer
208views Education» more  CORR 2010»
13 years 8 months ago
Discovering potential user browsing behaviors using custom-built apriori algorithm
Most of the organizations put information on the web because they want it to be seen by the world. Their goal is to have visitors come to the site, feel comfortable and stay a whi...
Sandeep Singh Rawat, Lakshmi Rajamani
JASIS
2008
76views more  JASIS 2008»
13 years 8 months ago
Using importance flooding to identify interesting networks of criminal activity
Abstract. In spite of policy concerns and high costs, the law enforcement community is investing heavily in data sharing initiatives. Cross-jurisdictional criminal justice informat...
Byron Marshall, Hsinchun Chen, Siddharth Kaza
DOLAP
2006
ACM
14 years 2 months ago
Enhanced mining of association rules from data cubes
On-line analytical processing (OLAP) provides tools to explore and navigate into data cubes in order to extract interesting information. Nevertheless, OLAP is not capable of expla...
Riadh Ben Messaoud, Sabine Loudcher Rabaséd...