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176
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BPM
2009
Springer
175views Business» more  BPM 2009»
16 years 1 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira
SMI
2008
IEEE
108views Image Analysis» more  SMI 2008»
16 years 1 months ago
Variational Multilevel Mesh Clustering
In this paper a novel clustering algorithm is proposed, namely Variational Multilevel Mesh Clustering (VMLC). The algorithm incorporates the advantages of both hierarchical and va...
Iurie Chiosa, Andreas Kolb
BIBE
2007
IEEE
147views Bioinformatics» more  BIBE 2007»
16 years 1 months ago
A New Alignment-Independent Algorithm for Clustering Protein Sequences
—The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important, the challenge is to identify subfamilies of evolut...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski
171
Voted
CLUSTER
2005
IEEE
16 years 10 days ago
Efficient and Robust Computation of Resource Clusters in the Internet
Applications such as parallel computing, online games, and content distribution networks need to run on a set of resources with particular network connection characteristics to ge...
Chuang Liu, Ian T. Foster
COMPLIFE
2005
Springer
16 years 7 days ago
Robust Perron Cluster Analysis for Various Applications in Computational Life Science
In the present paper we explain the basic ideas of Robust Perron Cluster Analysis (PCCA+) and exemplify the different application areas of this new and powerful method. Recently, ...
Marcus Weber, Susanna Kube