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» Association Analysis with One Scan of Databases
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BMCBI
2006
127views more  BMCBI 2006»
13 years 7 months ago
A graph-search framework for associating gene identifiers with documents
Background: One step in the model organism database curation process is to find, for each article, the identifier of every gene discussed in the article. We consider a relaxation ...
William W. Cohen, Einat Minkov
PKDD
2005
Springer
138views Data Mining» more  PKDD 2005»
14 years 26 days ago
Indexed Bit Map (IBM) for Mining Frequent Sequences
Sequential pattern mining has been an emerging problem in data mining. In this paper, we propose a new algorithm for mining frequent sequences. It processes only one scan of the da...
Lionel Savary, Karine Zeitouni
DATAMINE
2002
104views more  DATAMINE 2002»
13 years 7 months ago
Cubegrades: Generalizing Association Rules
Cubegrades are generalization of association rules which represent how a set of measures (aggregates) is affected by modifying a cube through specialization (rolldown), generaliza...
Tomasz Imielinski, Leonid Khachiyan, Amin Abdulgha...
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 7 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason
IPPS
2008
IEEE
14 years 1 months ago
SWAMP: Smith-Waterman using associative massive parallelism
One of the most commonly used tools by computational biologists is some form of sequence alignment. Heuristic alignment algorithms developed for speed and their multiple results s...
Shannon Steinfadt, Johnnie W. Baker