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» Using Clustering Methods for Discovering Event Structures
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PR
2008
169views more  PR 2008»
13 years 8 months ago
A survey of kernel and spectral methods for clustering
Clustering algorithms are a useful tool to explore data structures and have been employed in many disciplines. The focus of this paper is the partitioning clustering problem with ...
Maurizio Filippone, Francesco Camastra, Francesco ...
TSE
2010
156views more  TSE 2010»
13 years 6 months ago
Discovering Services during Service-Based System Design Using UML
—Recently, there has been a proliferation of service-based systems, i.e. software systems that are composed of autonomous services, but can also use software code. In order to su...
George Spanoudakis, Andrea Zisman
ICDM
2002
IEEE
143views Data Mining» more  ICDM 2002»
14 years 1 months ago
A Hybrid Approach to Discover Bayesian Networks From Databases Using Evolutionary Programming
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Man Leung Wong, Shing Yan Lee, Kwong-Sak Leung
SAC
2008
ACM
13 years 8 months ago
A clustering-based approach for discovering interesting places in trajectories
Because of the large amount of trajectory data produced by mobile devices, there is an increasing need for mechanisms to extract knowledge from this data. Most existing works have...
Andrey Tietbohl Palma, Vania Bogorny, Bart Kuijper...
BMCBI
2007
115views more  BMCBI 2007»
13 years 8 months ago
Local comparison of protein structures highlights cases of convergent evolution in analogous functional sites
Background: We performed an exhaustive search for local structural similarities in an ensemble of non-redundant protein functional sites. With the purpose of finding new examples ...
Gabriele Ausiello, Daniele Peluso, Allegra Via, Ma...