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» A New Algorithm for Mining Sequential Patterns
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FIMI
2004
279views Data Mining» more  FIMI 2004»
13 years 9 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...
CIKM
2009
Springer
13 years 5 months ago
Diverging patterns: discovering significant frequency change dissimilarities in large databases
In this paper, we present a framework for mining diverging patterns, a new type of contrast patterns whose frequency changes significantly differently in two data sets, e.g., it c...
Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang
SIGMOD
2010
ACM
196views Database» more  SIGMOD 2010»
13 years 7 months ago
GAIA: graph classification using evolutionary computation
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
Ning Jin, Calvin Young, Wei Wang
ADMA
2008
Springer
87views Data Mining» more  ADMA 2008»
13 years 9 months ago
Negative Generator Border for Effective Pattern Maintenance
In this paper, we study the maintenance of frequent patterns in the context of the generator representation. The generator representation is a concise and lossless representation o...
Mengling Feng, Jinyan Li, Limsoon Wong, Yap-Peng T...
JCST
2008
119views more  JCST 2008»
13 years 7 months ago
Mining Frequent Generalized Itemsets and Generalized Association Rules Without Redundancy
This paper presents some new algorithms to efficiently mine max frequent generalized itemsets (g-itemsets) and essential generalized association rules (g-rules). These are compact ...
Daniel Kunkle, Donghui Zhang, Gene Cooperman