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154
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DAWAK
2006
Springer
15 years 5 months ago
COBRA: Closed Sequential Pattern Mining Using Bi-phase Reduction Approach
Sequential pattern mining aims to find frequent patterns (guarded by a minimum support) in a database of sequences. As the support decreases the number of sequential patterns will...
Kuo-Yu Huang, Chia-Hui Chang, Jiun-Hung Tung, Chen...
153
Voted
DOLAP
2005
ACM
15 years 5 months ago
Parallel querying of ROLAP cubes in the presence of hierarchies
Online Analytical Processing is a powerful framework for the analysis of organizational data. OLAP is often supported by a logical structure known as a data cube, a multidimension...
Frank K. H. A. Dehne, Todd Eavis, Andrew Rau-Chapl...
129
Voted
FIMI
2003
146views Data Mining» more  FIMI 2003»
15 years 5 months ago
ARMOR: Association Rule Mining based on ORacle
In this paper, we first focus our attention on the question of how much space remains for performance improvement over current association rule mining algorithms. Our strategy is...
Vikram Pudi, Jayant R. Haritsa
DEXA
2005
Springer
160views Database» more  DEXA 2005»
15 years 9 months ago
Improved Sequential Pattern Mining Using an Extended Bitmap Representation
The main challenge of mining sequential patterns is the high processing cost of support counting for large amount of candidate patterns. For solving this problem, SPAM algorithm wa...
Chien-Liang Wu, Jia-Ling Koh, Pao-Ying An
128
Voted
SIGOPSE
1996
ACM
15 years 8 months ago
How to scale transactional storage systems
Applications of the future will need to support large numbers of clients and will require scalable storage systems that allow state to be shared reliably. Recent research in distr...
Liuba Shrira, Barbara Liskov, Miguel Castro, Atul ...