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» Mining Frequent Itemsets Using Support Constraints
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FIMI
2003
95views Data Mining» more  FIMI 2003»
13 years 8 months ago
Probabilistic Iterative Expansion of Candidates in Mining Frequent Itemsets
A simple new algorithm is suggested for frequent itemset mining, using item probabilities as the basis for generating candidates. The method first finds all the frequent items, an...
Attila Gyenesei, Jukka Teuhola
ICDE
2007
IEEE
172views Database» more  ICDE 2007»
14 years 1 months ago
A New Data Cube for Integrating Data Mining and OLAP
Recently there is much need of discovering useful knowledge from massive log-data which are generated by Webbased information systems. Such log-data have multiple attributes about...
Tadashi Ohmori, Masahide Naruse, Mamoru Hoshi
ICDM
2002
IEEE
148views Data Mining» more  ICDM 2002»
14 years 13 days ago
SLPMiner: An Algorithm for Finding Frequent Sequential Patterns Using Length-Decreasing Support Constraint
Over the years, a variety of algorithms for finding frequent sequential patterns in very large sequential databases have been developed. The key feature in most of these algorith...
Masakazu Seno, George Karypis
SAC
2006
ACM
14 years 1 months ago
A probability analysis for candidate-based frequent itemset algorithms
This paper explores the generation of candidates, which is an important step in frequent itemset mining algorithms, from a theoretical point of view. Important notions in our prob...
Nele Dexters, Paul W. Purdom, Dirk Van Gucht
KDD
2012
ACM
202views Data Mining» more  KDD 2012»
11 years 10 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