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» Clustering by pattern similarity in large data sets
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BMCBI
2008
142views more  BMCBI 2008»
15 years 6 months ago
Identification of biomarkers for genotyping Aspergilli using non-linear methods for clustering and classification
Background: In the present investigation, we have used an exhaustive metabolite profiling approach to search for biomarkers in recombinant Aspergillus nidulans (mutants that produ...
Irene Kouskoumvekaki, Zhiyong Yang, Svava Ó...
ICMCS
2005
IEEE
138views Multimedia» more  ICMCS 2005»
16 years 9 days ago
Overcomplete ICA-based Manmade Scene Classification
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Matthew Boutell, Jiebo Luo
CIA
2006
Springer
15 years 10 months ago
Selecting Web Services Statistically
Abstract. Service oriented computing oers a new approach to programming. To be useful for large and diverse sets of problems, eective service selection and composition is crucial. ...
David Lambert, David Robertson
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 7 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
SIGMOD
2003
ACM
190views Database» more  SIGMOD 2003»
15 years 12 months ago
Extracting Structured Data from Web Pages
Many web sites contain large sets of pages generated using a common template or layout. For example, Amazon lays out the author, title, comments, etc. in the same way in all its b...
Arvind Arasu, Hector Garcia-Molina