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» Mining Frequent Itemsets Using Support Constraints
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JCIT
2008
128views more  JCIT 2008»
13 years 7 months ago
OPAM-An Efficient One Pass Association Mining Technique without Candidate Generation
This paper presents an efficient One Pass Association Mining technique i.e. OPAM, which finds all the frequent itemsets without generating any candidate sets. OPAM is basically an...
S. Roy, D. K. Bhattacharyya
CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 4 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
ICDM
2005
IEEE
157views Data Mining» more  ICDM 2005»
14 years 1 months ago
Blocking Anonymity Threats Raised by Frequent Itemset Mining
In this paper we study when the disclosure of data mining results represents, per se, a threat to the anonymity of the individuals recorded in the analyzed database. The novelty o...
Maurizio Atzori, Francesco Bonchi, Fosca Giannotti...
ICANN
2005
Springer
14 years 1 months ago
Principles of Employing a Self-organizing Map as a Frequent Itemset Miner
This work proposes a theoretical guideline in the specific area of Frequent Itemset Mining (FIM). It supports the hypothesis that the use of neural network technology for the prob...
Vicente O. Baez-Monroy, Simon O'Keefe
DAWAK
2010
Springer
13 years 8 months ago
Mining Closed Itemsets in Data Stream Using Formal Concept Analysis
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
Anamika Gupta, Vasudha Bhatnagar, Naveen Kumar