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IEAAIE
2009
Springer
15 years 9 months ago
An Efficient Algorithm for Maintaining Frequent Closed Itemsets over Data Stream
Data mining refers to the process of revealing unknown and potentially useful information from a large database. Frequent itemsets mining is one of the foundational problems in dat...
Show-Jane Yen, Yue-Shi Lee, Cheng-Wei Wu, Chin-Lin...
DIS
2006
Springer
15 years 7 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...
ICTAI
2003
IEEE
15 years 8 months ago
Parallel Mining of Maximal Frequent Itemsets from Databases
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
Soon Myoung Chung, Congnan Luo
FIMI
2004
161views Data Mining» more  FIMI 2004»
15 years 4 months ago
ABS: Adaptive Borders Search of frequent itemsets
In this paper, we present an ongoing work to discover maximal frequent itemsets in a transactional database. We propose an algorithm called ABS for Adaptive Borders Search, which ...
Frédéric Flouvat, Fabien De Marchi, ...
PODS
2004
ACM
130views Database» more  PODS 2004»
16 years 3 months ago
Computational Complexity of Itemset Frequency Satisfiability
Computing frequent itemsets is one of the most prominent problems in data mining. We introduce a new, related problem, called FREQSAT: given some itemset-interval pairs, does ther...
Toon Calders