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» Mining Frequent Itemsets using Patricia Tries
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FIMI
2003
146views Data Mining» more  FIMI 2003»
13 years 6 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
2006
IEEE
133views Data Mining» more  ICDM 2006»
13 years 11 months ago
TRIAS - An Algorithm for Mining Iceberg Tri-Lattices
In this paper, we present the foundations for mining frequent tri-concepts, which extend the notion of closed itemsets to three-dimensional data to allow for mining folksonomies. ...
Robert Jäschke, Andreas Hotho, Christoph Schm...
DMIN
2006
137views Data Mining» more  DMIN 2006»
13 years 6 months ago
Discovering of Frequent Itemsets with CP-mine Algorithm
Efficient algorithms to discover frequent patterns are crucial in data mining research. Several effective data structures, such as two-dimensional arrays, graphs, trees, and tries ...
Nuansri Denwattana, Yutthana Treewai
DIS
2006
Springer
13 years 8 months ago
Itemset Support Queries Using Frequent Itemsets and Their Condensed Representations
The purpose of this paper is two-fold: First, we give efficient algorithms for answering itemset support queries for collections of itemsets from various representations of the fre...
Taneli Mielikäinen, Pance Panov, Saso Dzerosk...
KDD
2012
ACM
202views Data Mining» more  KDD 2012»
11 years 7 months ago
UFIMT: an uncertain frequent itemset mining toolbox
In recent years, mining frequent itemsets over uncertain data has attracted much attention in the data mining community. Unlike the corresponding problem in deterministic data, th...
Yongxin Tong, Lei Chen 0002, Philip S. Yu