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CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 5 months ago
A Model-Based Frequency Constraint for Mining Associations from Transaction Data
Mining frequent itemsets is a popular method for finding associated items in databases. For this method, support, the co-occurrence frequency of the items which form an associatio...
Michael Hahsler
VLDB
1995
ACM
195views Database» more  VLDB 1995»
13 years 9 months ago
Discovery of Multiple-Level Association Rules from Large Databases
Previous studies on mining association rules find rules at single concept level, however, mining association rules at multiple concept levels may lead to the discovery of more spe...
Jiawei Han, Yongjian Fu
DBA
2006
182views Database» more  DBA 2006»
13 years 7 months ago
Matrix Apriori: Speeding Up the Search for Frequent Patterns
This work discusses the problem of generating association rules from a set of transactions in a relational database, taking performance and accuracy of found results as the essent...
Judith Pavón, Sidney Viana, Santiago G&oacu...
CIDR
2009
181views Algorithms» more  CIDR 2009»
13 years 6 months ago
The Case for RodentStore: An Adaptive, Declarative Storage System
Recent excitement in the database community surrounding new applications--analytic, scientific, graph, geospatial, etc.--has led to an explosion in research on database storage sy...
Philippe Cudré-Mauroux, Eugene Wu, Samuel M...
AI
2007
Springer
13 years 9 months ago
A Profit-Based Business Model for Evaluating Rule Interestingness
Different types of rules are mined from transaction databases often with the goal of improving sales and services. In this paper, we link the interestingness of rules with the cont...
Yaohua Chen, Yan Zhao, Yiyu Yao