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» Using Clustering Methods for Discovering Event Structures
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ICCS
2005
Springer
14 years 2 months ago
Evolutionary Discovery of Arbitrary Self-replicating Structures
In this paper we describe our recent use of genetic programming methods to automatically discover CA rule sets that produce self-replication of arbitrary given structures. Our init...
Zhijian Pan, James A. Reggia
AEI
2007
119views more  AEI 2007»
13 years 8 months ago
Exploring the CSCW spectrum using process mining
Process mining techniques allow for extracting information from event logs. For example, the audit trails of a workflow management system or the transaction logs of an enterprise ...
Wil M. P. van der Aalst
CAISE
2004
Springer
14 years 1 months ago
Business Alignment: Using Process Mining as a Tool for Delta Analysis
Fueled by the omnipresence of event logs in transactional information systems (cf. WFM, ERP, CRM, SCM, and B2B systems), process mining has become a vivid research area. Until rece...
Wil M. P. van der Aalst
ICCV
2009
IEEE
15 years 1 months ago
Video Scene Understanding Using Multi-scale Analysis
We propose a novel method for automatically discover-ing key motion patterns happening in a scene by observing the scene for an extended period. Our method does not rely on object ...
Yang Yang, Jingen Liu, Mubarak Shah
GFKL
2004
Springer
117views Data Mining» more  GFKL 2004»
14 years 1 months ago
Cluster Ensembles
Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications. The R package˜c...
Kurt Hornik