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» Generalized Closed Itemsets for Association Rule Mining
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KDD
1998
ACM
147views Data Mining» more  KDD 1998»
15 years 6 months ago
ADtrees for Fast Counting and for Fast Learning of Association Rules
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
Brigham S. Anderson, Andrew W. Moore
AAI
2007
132views more  AAI 2007»
15 years 2 months ago
Incremental Extraction of Association Rules in Applicative Domains
In recent years, the KDD process has been advocated to be an iterative and interactive process. It is seldom the case that a user is able to answer immediately with a single query...
Arianna Gallo, Roberto Esposito, Rosa Meo, Marco B...
70
Voted
APN
2003
Springer
15 years 7 months ago
Nets Enriched over Closed Monoidal Structures
Abstract. We show how the firing rule of Petri nets relies on a residuation operation for the commutative monoid of natural numbers. On that basis we introduce closed monoidal str...
Eric Badouel, Jules Chenou
KDD
1999
ACM
184views Data Mining» more  KDD 1999»
15 years 6 months ago
Mining Optimized Gain Rules for Numeric Attributes
—Association rules are useful for determining correlations between attributes of a relation and have applications in the marketing, financial, and retail sectors. Furthermore, op...
Sergey Brin, Rajeev Rastogi, Kyuseok Shim
221
Voted
ICDE
2008
IEEE
153views Database» more  ICDE 2008»
16 years 3 months ago
Mining Views: Database Views for Data Mining
We present a system towards the integration of data mining into relational databases. To this end, a relational database model is proposed, based on the so called virtual mining vi...
Élisa Fromont, Adriana Prado, Bart Goethals...