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» Discovering Predictive Association Rules
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JCNS
2000
78views more  JCNS 2000»
13 years 7 months ago
Computational Consequences of Temporally Asymmetric Learning Rules: II. Sensory Image Cancellation
Abstract. The electrosensory lateral line lobe (ELL) of mormyridelectric sh is a cerebellum-likestructure that receives primarya erent input from electroreceptors in the skin. Purk...
Patrick D. Roberts, Curtis C. Bell
WWW
2006
ACM
14 years 8 months ago
Mining related queries from search engine query logs
In this work we propose a method that retrieves a list of related queries given an initial input query. The related queries are based on the query log of previously issued queries...
Xiaodong Shi, Christopher C. Yang
BMCBI
2008
117views more  BMCBI 2008»
13 years 7 months ago
A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge
Background: The functional characterization of newly discovered proteins has been a challenge in the post-genomic era. Protein-protein interactions provide insights into the funct...
Young-Rae Cho, Lei Shi, Murali Ramanathan, Aidong ...
PPSN
2004
Springer
14 years 1 months ago
Web Page Classification with an Ant Colony Algorithm
This paper utilizes Ant-Miner – the first Ant Colony algorithm for discovering classification rules – in the field of web content mining, and shows that it is more effective th...
Nicholas Holden, Alex Alves Freitas
AMT
2006
Springer
108views Multimedia» more  AMT 2006»
13 years 9 months ago
Efficient Frequent Itemsets Mining by Sampling
As the first stage for discovering association rules, frequent itemsets mining is an important challenging task for large databases. Sampling provides an efficient way to get appro...
Yanchang Zhao, Chengqi Zhang, Shichao Zhang