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» Mining Frequent Itemsets from Uncertain Data
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SIGCOMM
2010
ACM
13 years 7 months ago
Automating root-cause analysis of network anomalies using frequent itemset mining
Finding the root-cause of a network security anomaly is essential for network operators. In our recent work [1, 5], we introduced a generic technique that uses frequent itemset mi...
Ignasi Paredes-Oliva, Xenofontas A. Dimitropoulos,...
JIIS
2010
106views more  JIIS 2010»
13 years 2 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, ...
JIIS
2008
133views more  JIIS 2008»
13 years 7 months ago
Maintaining frequent closed itemsets over a sliding window
In this paper, we study the incremental update of Frequent Closed Itemsets (FCIs) over a sliding window in a high-speed data stream. We propose the notion of semi-FCIs, which is to...
James Cheng, Yiping Ke, Wilfred Ng
CORR
2008
Springer
114views Education» more  CORR 2008»
13 years 7 months ago
Dynamic index selection in data warehouses
Analytical queries defined on data warehouses are complex and use several join operations that are very costly, especially when run on very large data volumes. To improve response...
Stéphane Azefack, Kamel Aouiche, Jér...
FIMI
2003
210views Data Mining» more  FIMI 2003»
13 years 9 months ago
COFI-tree Mining: A New Approach to Pattern Growth with Reduced Candidacy Generation
Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
Osmar R. Zaïane, Mohammad El-Hajj