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» QoS: Quality Driven Data Abstraction Generation For Large Da...
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BMCBI
2008
153views more  BMCBI 2008»
13 years 5 months ago
2DB: a Proteomics database for storage, analysis, presentation, and retrieval of information from mass spectrometric experiments
Background: The amount of information stemming from proteomics experiments involving (multi dimensional) separation techniques, mass spectrometric analysis, and computational anal...
Jens Allmer, Sebastian Kuhlgert, Michael Hippler
ER
2007
Springer
187views Database» more  ER 2007»
13 years 11 months ago
Metamodeling Integration Architecture for Open Biomedical Ontologies: The GO Extensions' Case Study
New technologies used in biology are generating huge quantities of data; up to two petabytes of overall data are to be expected by the end of the decade. Modern biology also has t...
Marie-Noëlle Terrasse, Marinette Savonnet, Er...
KAIS
2006
110views more  KAIS 2006»
13 years 5 months ago
Multi-step density-based clustering
Abstract. Data mining in large databases of complex objects from scientific, engineering or multimedia applications is getting more and more important. In many areas, complex dista...
Stefan Brecheisen, Hans-Peter Kriegel, Martin Pfei...
EDBT
2006
ACM
191views Database» more  EDBT 2006»
14 years 5 months ago
Distributed Spatial Clustering in Sensor Networks
Abstract. Sensor networks monitor physical phenomena over large geographic regions. Scientists can gain valuable insight into these phenomena, if they understand the underlying dat...
Anand Meka, Ambuj K. Singh
AUSAI
2004
Springer
13 years 8 months ago
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining
Abstract. Association rule mining is a data mining technique that reveals interesting relationships in a database. Existing approaches employ different parameters to search for int...
Stefan Mutter, Mark Hall, Eibe Frank