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» Clustering by pattern similarity in large data sets
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BMCBI
2006
165views more  BMCBI 2006»
15 years 6 months ago
Validation and functional annotation of expression-based clusters based on gene ontology
Background: The biological interpretation of large-scale gene expression data is one of the paramount challenges in current bioinformatics. In particular, placing the results in t...
Ralf Steuer, Peter Humburg, Joachim Selbig
BMCBI
2007
177views more  BMCBI 2007»
15 years 6 months ago
The BioPrompt-box: an ontology-based clustering tool for searching in biological databases
Background: High-throughput molecular biology provides new data at an incredible rate, so that the increase in the size of biological databanks is enormous and very rapid. This sc...
Claudio Corsi, Paolo Ferragina, Roberto Marangoni
CINQ
2004
Springer
157views Database» more  CINQ 2004»
15 years 10 months ago
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
Jean-François Boulicaut
SIGMOD
2005
ACM
136views Database» more  SIGMOD 2005»
16 years 6 months ago
Peer-to-peer management of XML data: issues and research challenges
Peer-to-peer (p2p) systems are attracting increasing attention as an efficient means of sharing data among large, diverse and dynamic sets of users. The widespread use of XML as a...
Georgia Koloniari, Evaggelia Pitoura
IJCM
2007
205views more  IJCM 2007»
15 years 6 months ago
BTF modelling using BRDF texels
The highest fidelity representations of realistic real-world materials currently used comprise Bidirectional Texture Functions (BTF). The BTF is a six dimensional function dependi...
Jirí Filip, Michal Haindl