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CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 9 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
IDA
2007
Springer
13 years 9 months ago
Approximate mining of frequent patterns on streams
Abstract. This paper introduces a new algorithm for approximate mining of frequent patterns from streams of transactions using a limited amount of memory. The proposed algorithm co...
Claudio Silvestri, Salvatore Orlando
ADC
2006
Springer
169views Database» more  ADC 2006»
14 years 3 months ago
A further study in the data partitioning approach for frequent itemsets mining
Frequent itemsets mining is well explored for various data types, and its computational complexity is well understood. Based on our previous work by Nguyen and Orlowska (2005), th...
Son N. Nguyen, Maria E. Orlowska
FIMI
2003
146views Data Mining» more  FIMI 2003»
13 years 10 months ago
Mining Frequent Itemsets using Patricia Tries
We present a depth-first algorithm, PatriciaMine, that discovers all frequent itemsets in a dataset, for a given support threshold. The algorithm is main-memory based and employs...
Andrea Pietracaprina, Dario Zandolin
ICDM
2008
IEEE
95views Data Mining» more  ICDM 2008»
14 years 3 months ago
Publishing Sensitive Transactions for Itemset Utility
We consider the problem of publishing sensitive transaction data with privacy preservation. High dimensionality of transaction data poses unique challenges on data privacy and dat...
Yabo Xu, Benjamin C. M. Fung, Ke Wang, Ada Wai-Che...