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DATAMINE
2007
103views more  DATAMINE 2007»
13 years 5 months ago
Relational peculiarity-oriented mining
Peculiarity rules are a new type of useful knowledge that can be discovered by searching the relevance among peculiar data. A main task in mining such knowledge is peculiarity iden...
Muneaki Ohshima, Ning Zhong, Yiyu Yao, Chunnian Li...
SIGMOD
1996
ACM
110views Database» more  SIGMOD 1996»
13 years 9 months ago
Mining Quantitative Association Rules in Large Relational Tables
We introduce the problem of mining association rules in large relational tables containing both quantitative and categorical attributes. An example of such an association might be...
Ramakrishnan Srikant, Rakesh Agrawal
DATAMINE
2000
115views more  DATAMINE 2000»
13 years 5 months ago
Integrating Association Rule Mining with Relational Database Systems: Alternatives and Implications
Data mining on large data warehouses is becoming increasingly important. In support of this trend, we consider a spectrum of architectural alternatives for coupling mining with da...
Sunita Sarawagi, Shiby Thomas, Rakesh Agrawal
PAAPP
2007
109views more  PAAPP 2007»
13 years 4 months ago
Relation rule mining
\Web users are nowadays confronted with the huge variety of available information sources whose content is not targeted at any specific group or layer. Recommendation systems aim...
Mehdi Adda, Rokia Missaoui, Petko Valtchev
SAC
2010
ACM
13 years 10 months ago
Mining interesting sets and rules in relational databases
In this paper we propose a new and elegant approach toward the generalization of frequent itemset mining to the multirelational case. We define relational itemsets that contain i...
Bart Goethals, Wim Le Page, Michael Mampaey