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KDD
2002
ACM
189views Data Mining» more  KDD 2002»
14 years 5 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...
ICDM
2006
IEEE
114views Data Mining» more  ICDM 2006»
13 years 11 months ago
Incremental Mining of Frequent Query Patterns from XML Queries for Caching
Existing studies for mining frequent XML query patterns mainly introduce a straightforward candidate generate-and-test strategy and compute frequencies of candidate query patterns...
Guoliang Li, Jianhua Feng, Jianyong Wang, Yong Zha...
ADC
2003
Springer
182views Database» more  ADC 2003»
13 years 10 months ago
CT-ITL : Efficient Frequent Item Set Mining Using a Compressed Prefix Tree with Pattern Growth
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
Yudho Giri Sucahyo, Raj P. Gopalan
DMIN
2006
138views Data Mining» more  DMIN 2006»
13 years 6 months ago
Mining Complete Hybrid Sequential Patterns
We discovered that the set of frequent hybrid sequential patterns obtained by previous researches is incomplete, due to the inapplicability of the Apriori principle. We design and ...
Chichang Jou
RCIS
2010
13 years 3 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