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ADBIS
1998
Springer
118views Database» more  ADBIS 1998»
14 years 1 months ago
Itemset Materializing for Fast Mining of Association Rules
Mining association rules is an important data mining problem. Association rules are usually mined repeatedly in different parts of a database. Current algorithms for mining associa...
Marek Wojciechowski, Maciej Zakrzewicz
ICDE
2003
IEEE
146views Database» more  ICDE 2003»
14 years 10 months ago
Generalized Closed Itemsets for Association Rule Mining
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
Vikram Pudi, Jayant R. Haritsa
AICCSA
2008
IEEE
216views Hardware» more  AICCSA 2008»
13 years 9 months ago
Mining fault tolerant frequent patterns using pattern growth approach
Mining fault tolerant (FT) frequent patterns from transactional datasets are very complex than mining all frequent patterns (itemsets), in terms of both search space exploration a...
Shariq Bashir, Zahid Halim, Abdul Rauf Baig
ADMA
2005
Springer
124views Data Mining» more  ADMA 2005»
13 years 11 months ago
Finding All Frequent Patterns Starting from the Closure
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...
Mohammad El-Hajj, Osmar R. Zaïane
EDBT
2006
ACM
95views Database» more  EDBT 2006»
14 years 9 months ago
On Exploring the Power-Law Relationship in the Itemset Support Distribution
Abstract. We identify and explore in this paper an important phenomenon which points out that the power-law relationship appears in the distribution of itemset supports. Characteri...
Kun-Ta Chuang, Jiun-Long Huang, Ming-Syan Chen