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» Clustering by pattern similarity in large data sets
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IDA
2007
Springer
13 years 9 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
AMW
2009
13 years 10 months ago
Using Patterns for Faster and Scalable Rewriting of Conjunctive Queries
Abstract. Rewriting of conjunctive queries using views has many applications in database and data integration. We investigate ways to improve performance of rewriting and propose a...
Ali Kiani, Nematollaah Shiri
ICDCS
2010
IEEE
14 years 26 days ago
Sifting through Network Data to Cull Activity Patterns with HEAPs
—Today’s large campus and enterprise networks are characterized by their complexity, i.e. containing thousands of hosts, and diversity, i.e. with various applications and usage...
Esam Sharafuddin, Yu Jin, Nan Jiang, Zhi-Li Zhang
BMCBI
2006
155views more  BMCBI 2006»
13 years 9 months ago
Analysis of promoter regions of co-expressed genes identified by microarray analysis
Background: The use of global gene expression profiling to identify sets of genes with similar expression patterns is rapidly becoming a widespread approach for understanding biol...
Srinivas Veerla, Mattias Höglund
CORR
1999
Springer
222views Education» more  CORR 1999»
13 years 8 months ago
Analysis of approximate nearest neighbor searching with clustered point sets
Abstract. Nearest neighbor searching is a fundamental computational problem. A set of n data points is given in real d-dimensional space, and the problem is to preprocess these poi...
Songrit Maneewongvatana, David M. Mount