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» Mining Frequent Itemsets from Uncertain Data
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CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 5 months ago
Mining Multi-Level Frequent Itemsets under Constraints
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
Mohamed Salah Gouider, Amine Farhat
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 8 months ago
Frequent pattern mining with uncertain data
In this paper, we will examine the frequent pattern mining for uncertain data sets. We will show how the broad classes of algorithms can be extended to the uncertain data setting....
Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wan...
ICDM
2006
IEEE
128views Data Mining» more  ICDM 2006»
14 years 1 months ago
delta-Tolerance Closed Frequent Itemsets
James Cheng, Yiping Ke, Wilfred Ng
PAKDD
2004
ACM
164views Data Mining» more  PAKDD 2004»
14 years 1 months ago
FP-Bonsai: The Art of Growing and Pruning Small FP-Trees
Abstract. In the context of mining frequent itemsets, numerous strategies have been proposed to push several types of constraints within the most well known algorithms. In this pap...
Francesco Bonchi, Bart Goethals
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 7 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