Sciweavers

15 search results - page 1 / 3
» A Model-Based Frequency Constraint for Mining Associations f...
Sort
View
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
CORR
2008
Springer
115views Education» more  CORR 2008»
13 years 5 months ago
New probabilistic interest measures for association rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
Michael Hahsler, Kurt Hornik
ICDM
2007
IEEE
155views Data Mining» more  ICDM 2007»
13 years 8 months ago
Transitional Patterns and Their Significant Milestones
Mining frequent patterns in transaction databases has been studied extensively in data mining research. However, most of the existing frequent pattern mining algorithms do not con...
Qian Wan, Aijun An
KDID
2004
140views Database» more  KDID 2004»
13 years 6 months ago
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
We are designing new data mining techniques on boolean contexts to identify a priori interesting bi-sets (i.e., sets of objects or transactions associated to sets of attributes or ...
Jérémy Besson, Céline Robarde...
SIGMOD
1997
ACM
134views Database» more  SIGMOD 1997»
13 years 9 months ago
Scalable Parallel Data Mining for Association Rules
One of the important problems in data mining is discovering association rules from databases of transactions where each transaction consists of a set of items. The most time consu...
Eui-Hong Han, George Karypis, Vipin Kumar