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» On compressing frequent patterns
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CORR
2010
Springer
219views Education» more  CORR 2010»
15 years 3 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor
148
Voted
DKE
2007
129views more  DKE 2007»
15 years 3 months ago
First-order temporal pattern mining with regular expression constraints
Previous studies on mining sequential patterns have focused on temporal patterns specified by some form of propositional temporal logic. However, there are some interesting seque...
Sandra de Amo, Daniel A. Furtado
FIMI
2003
104views Data Mining» more  FIMI 2003»
15 years 5 months ago
AIM: Another Itemset Miner
We present a new algorithm for mining frequent itemsets. Past studies have proposed various algorithms and techniques for improving the efficiency of the mining task. We integrate...
Amos Fiat, Sagi Shporer
151
Voted
ICASSP
2010
IEEE
15 years 4 months ago
Wideband spectral estimation from compressed measurements exploiting spectral a priori information in Cognitive Radio systems
In Cognitive Radio scenarios channelization information from primary network may be available to the spectral monitor. Under this assumption we propose a spectral estimation algor...
Gonzalo Vazquez-Vilar, Roberto López-Valcar...
JIIS
2007
154views more  JIIS 2007»
15 years 3 months ago
Constraint-based sequential pattern mining: the pattern-growth methods
Constraints are essential for many sequential pattern mining applications. However, there is no systematic study on constraint-based sequential pattern mining. In this paper, we in...
Jian Pei, Jiawei Han, Wei Wang