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» Measuring Similarity between Business Process Models
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182
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ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
16 years 1 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin
190
Voted
ESWS
2009
Springer
16 years 1 months ago
MoKi: The Enterprise Modelling Wiki
Abstract. Enterprise modelling focuses on the construction of a structured description, the so-called enterprise model, which represents aspects relevant to the activity of an ente...
Chiara Ghidini, Barbara Kump, Stefanie N. Lindstae...
207
Voted
MIR
2010
ACM
163views Multimedia» more  MIR 2010»
15 years 9 months ago
SNDocRank: a social network-based video search ranking framework
Multimedia ranking algorithms are usually user-neutral and measure the importance and relevance of documents by only using the visual contents and meta-data. However, users’ int...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...
210
Voted
WISTP
2010
Springer
16 years 1 months ago
A Probabilistic Diffusion Scheme for Anomaly Detection on Smartphones
Widespread use and general purpose computing capabilities of next generation smartphones make them the next big targets of malicious software (malware) and security attacks. Given ...
Tansu Alpcan, Christian Bauckhage, Aubrey-Derrick ...
172
Voted
IPPS
1998
IEEE
15 years 11 months ago
Migration and Rollback Transparency for Arbitrary Distributed Applications in Workstation Clusters
Programmers and users of compute intensive scientific applications often do not want to (or even cannot) code load balancing and fault tolerance into their programs. The PBEAM syst...
Stefan Petri, Matthias Bolz, Horst Langendörf...