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» Ontology Based Analysis of Experimental Data
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GECCO
2009
Springer
14 years 3 months ago
Search based data sensitivity analysis applied to requirement engineering
Software engineering is plagued by problems associated with unreliable cost estimates. This paper introduces an approach to sensitivity analysis for requirements engineering. It u...
Mark Harman, Jens Krinke, Jian Ren, Shin Yoo
CIBCB
2005
IEEE
14 years 4 months ago
Functional Distances for Genes Based on GO Feature Maps and their Application to Clustering
— With the invention of high throughput methods, researchers are capable of producing large amounts of biological data. During the analysis of such data, the need for a functiona...
Nora Speer, Holger Fröhlich, Christian Spieth...
BMCBI
2010
223views more  BMCBI 2010»
13 years 6 months ago
MetNetGE: interactive views of biological networks and ontologies
Background: Linking high-throughput experimental data with biological networks is a key step for understanding complex biological systems. Currently, visualization tools for large...
Ming Jia, Suh-Yeon Choi, Dirk Reiners, Eve Syrkin ...
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
14 years 4 months ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme
APCCM
2010
14 years 1 days ago
Metric of intrinsic information content for measuring semantic similarity in an ontology
Measuring information content (IC) from the intrinsic information of an ontology is an important however a formidable task. IC is useful for further measurement of the semantic si...
Md. Seddiqui Hanif, Masaki Aono