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» Clustering XML Documents Using Structural Summaries
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EXPDB
2006
ACM
14 years 1 months ago
Pushing XPath Accelerator to its Limits
Two competing encoding concepts are known to scale well with growing amounts of XML data: XPath Accelerator encoding implemented by MonetDB for in-memory documents and X-Hive’s ...
Christian Grün, Alexander Holupirek, Marc Kra...
ICSM
2005
IEEE
14 years 1 months ago
Co-Change Visualization
Clustering layouts of software systems combine two important aspects: they reveal groups of related artifacts of the software system, and they produce a visualization of the resul...
Dirk Beyer
BMCBI
2007
140views more  BMCBI 2007»
13 years 8 months ago
Evaluation of high-throughput functional categorization of human disease genes
Background: Biological data that are well-organized by an ontology, such as Gene Ontology, enables high-throughput availability of the semantic web. It can also be used to facilit...
James L. Chen, Yang Liu, Lee T. Sam, Jianrong Li, ...
BMCBI
2004
126views more  BMCBI 2004»
13 years 7 months ago
Visualization and analysis of microarray and gene ontology data with treemaps
Background: The increasing complexity of genomic data presents several challenges for biologists. Limited computer monitor views of data complexity and the dynamic nature of data ...
Eric H. Baehrecke, Niem Dang, Ketan Babaria, Ben S...
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
14 years 2 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler