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» Scaling Clustering Algorithms to Large Databases
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KDD
2006
ACM
159views Data Mining» more  KDD 2006»
14 years 8 months ago
Global distance-based segmentation of trajectories
This work introduces distance-based criteria for segmentation of object trajectories. Segmentation leads to simplification of the original objects into smaller, less complex primi...
Aris Anagnostopoulos, Michail Vlachos, Marios Hadj...
CIA
2007
Springer
14 years 2 months ago
Learning Initial Trust Among Interacting Agents
Trust learning is a crucial aspect of information exchange, negotiation, and any other kind of social interaction among autonomous agents in open systems. But most current probabil...
Achim Rettinger, Matthias Nickles, Volker Tresp
BMCBI
2010
121views more  BMCBI 2010»
13 years 8 months ago
Knowledge-based annotation of small molecule binding sites in proteins
Background: The study of protein-small molecule interactions is vital for understanding protein function and for practical applications in drug discovery. To benefit from the rapi...
Ratna R. Thangudu, Manoj Tyagi, Benjamin A. Shoema...
EDBT
2010
ACM
152views Database» more  EDBT 2010»
13 years 11 months ago
Feedback-based annotation, selection and refinement of schema mappings for dataspaces
The specification of schema mappings has proved to be time and resource consuming, and has been recognized as a critical bottleneck to the large scale deployment of data integrati...
Khalid Belhajjame, Norman W. Paton, Suzanne M. Emb...
BMCBI
2006
374views more  BMCBI 2006»
13 years 8 months ago
AMDA: an R package for the automated microarray data analysis
Background: Microarrays are routinely used to assess mRNA transcript levels on a genome-wide scale. Large amount of microarray datasets are now available in several databases, and...
Mattia Pelizzola, Norman Pavelka, Maria Foti, Paol...