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» A new classification of datasets for frequent itemsets
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JIIS
2010
106views more  JIIS 2010»
12 years 11 months ago
A new classification of datasets for frequent itemsets
The discovery of frequent patterns is a famous problem in data mining. While plenty of algorithms have been proposed during the last decade, only a few contributions have tried to ...
Frédéric Flouvat, Fabien De Marchi, ...
ICDM
2005
IEEE
125views Data Mining» more  ICDM 2005»
13 years 10 months ago
A Thorough Experimental Study of Datasets for Frequent Itemsets
The discovery of frequent patterns is a famous problem in data mining. While plenty of algorithms have been proposed during the last decade, only a few contributions have tried to...
Frédéric Flouvat, Fabien De Marchi, ...
INAP
2001
Springer
13 years 9 months ago
Discovering Frequent Itemsets in the Presence of Highly Frequent Items
This paper presents new techniques for focusing the discoveryof frequent itemsets within large, dense datasets containing highly frequent items. The existence of highly frequent i...
Dennis P. Groth, Edward L. Robertson
FIMI
2004
279views Data Mining» more  FIMI 2004»
13 years 6 months ago
DCI Closed: A Fast and Memory Efficient Algorithm to Mine Frequent Closed Itemsets
One of the main problems raising up in the frequent closed itemsets mining problem is the duplicate detection. In this paper we propose a general technique for promptly detecting ...
Claudio Lucchese, Salvatore Orlando, Raffaele Pere...
VLDB
2004
ACM
127views Database» more  VLDB 2004»
13 years 10 months ago
Computing Frequent Itemsets Inside Oracle 10G
1 Frequent itemset counting is the first step for most association rule algorithms and some classification algorithms. It is the process of counting the number of occurrences of ...
Wei Li, Ari Mozes