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» On compressing frequent patterns
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IDEAL
2007
Springer
15 years 9 months ago
Mining Disjunctive Sequential Patterns from News Stream
Frequent disjunctive pattern is known to be a sophisticated method of text mining in a single document that satisfies anti-monotonicity, by which we can discuss efficient algorith...
Kazuhiro Shimizu, Isamu Shioya, Takao Miura
141
Voted
RCIS
2010
15 years 2 months ago
A Tree-based Approach for Efficiently Mining Approximate Frequent Itemsets
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
Jia-Ling Koh, Yi-Lang Tu
ICIP
2008
IEEE
16 years 5 months ago
Compressive image fusion
Compressive sensing (CS) has received a lot of interest due to its compression capability and lack of complexity on the sensor side. In this paper, we present a study of three sam...
Tao Wan, Cedric Nishan Canagarajah, Alin Achim
SDM
2012
SIAM
289views Data Mining» more  SDM 2012»
13 years 6 months ago
Mining Compressing Sequential Patterns
Compression based pattern mining has been successfully applied to many data mining tasks. We propose an approach based on the minimum description length principle to extract seque...
Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin,...
133
Voted
CORR
2011
Springer
198views Education» more  CORR 2011»
14 years 10 months ago
Pattern matching in Lempel-Ziv compressed strings: fast, simple, and deterministic
Countless variants of the Lempel-Ziv compression are widely used in many real-life applications. This paper is concerned with a natural modification of the classical pattern match...
Pawel Gawrychowski