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» Mining Frequent Patterns without Candidate Generation
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ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
14 years 24 days ago
On Computing Condensed Frequent Pattern Bases
Frequent pattern mining has been studied extensively. However, the effectiveness and efficiency of this mining is often limited, since the number of frequent patterns generated i...
Jian Pei, Guozhu Dong, Wei Zou, Jiawei Han
DAWAK
2010
Springer
13 years 9 months ago
Mining Closed Itemsets in Data Stream Using Formal Concept Analysis
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
Anamika Gupta, Vasudha Bhatnagar, Naveen Kumar
ICDM
2007
IEEE
169views Data Mining» more  ICDM 2007»
13 years 11 months ago
Efficient Discovery of Frequent Approximate Sequential Patterns
We propose an efficient algorithm for mining frequent approximate sequential patterns under the Hamming distance model. Our algorithm gains its efficiency by adopting a "brea...
Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu
GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
13 years 11 months ago
FSMTree: An Efficient Algorithm for Mining Frequent Temporal Patterns
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
Steffen Kempe, Jochen Hipp, Rudolf Kruse
CIDM
2007
IEEE
13 years 8 months ago
SSM : A Frequent Sequential Data Stream Patterns Miner
Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process capable of delivering c...
C. I. Ezeife, Mostafa Monwar