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» Mining Frequent Itemsets Using Re-Usable Data Structure
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PAKDD
2009
ACM
170views Data Mining» more  PAKDD 2009»
14 years 4 months ago
Discovering Periodic-Frequent Patterns in Transactional Databases.
Since mining frequent patterns from transactional databases involves an exponential mining space and generates a huge number of patterns, efficient discovery of user-interest-based...
Byeong-Soo Jeong, Chowdhury Farhan Ahmed, Syed Kha...
CIKM
2010
Springer
13 years 2 months ago
Mining networks with shared items
Recent advances in data processing have enabled the generation of large and complex graphs. Many researchers have developed techniques to investigate informative structures within...
Jun Sese, Mio Seki, Mutsumi Fukuzaki
KDD
2002
ACM
189views Data Mining» more  KDD 2002»
14 years 8 months ago
Sequential PAttern mining using a bitmap representation
We introduce a new algorithm for mining sequential patterns. Our algorithm is especially efficient when the sequential patterns in the database are very long. We introduce a novel...
Jay Ayres, Jason Flannick, Johannes Gehrke, Tomi Y...
HAIS
2011
Springer
12 years 11 months ago
Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm
A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifie...
Stephen G. Matthews, Mario A. Góngora, Adri...
CIDM
2007
IEEE
13 years 7 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