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ISMIS
2009
Springer
13 years 11 months ago
Relational Sequence Clustering for Aggregating Similar Agents
Many clustering methods are based on flat descriptions, while data regarding real-world domains include heterogeneous objects related to each other in multiple ways. For instance,...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...
KESAMSTA
2010
Springer
13 years 9 months ago
Classifying Agent Behaviour through Relational Sequential Patterns
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...
KDD
2000
ACM
222views Data Mining» more  KDD 2000»
13 years 7 months ago
Interactive exploration of very large relational datasets through 3D dynamic projections
The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
Li Yang
BMCBI
2007
175views more  BMCBI 2007»
13 years 4 months ago
CLUSS: Clustering of protein sequences based on a new similarity measure
Background: The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important. The challenge is to identify subfamilies...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski...
CSB
2005
IEEE
223views Bioinformatics» more  CSB 2005»
13 years 10 months ago
Automatic Protein Function Annotation through Candidate Ortholog Clusters from Incomplete Genomes
Annotation of protein function often arises in the context of partially complete genomes but is not adequately addressed. We present an annotation method by extracting ortholog cl...
Akshay Vashist, Casimir A. Kulikowski, Ilya B. Muc...