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» Using Clustering Methods for Discovering Event Structures
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109
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PKDD
2010
Springer
124views Data Mining» more  PKDD 2010»
15 years 1 months ago
Summarising Data by Clustering Items
Abstract. For a book, the title and abstract provide a good first impression of what to expect from it. For a database, getting a first impression is not so straightforward. Whil...
Michael Mampaey, Jilles Vreeken
117
Voted
CAV
2003
Springer
154views Hardware» more  CAV 2003»
15 years 7 months ago
Structural Symbolic CTL Model Checking of Asynchronous Systems
In previous work, we showed how structural information can be used to efficiently generate the state-space of asynchronous systems. Here, we apply these ideas to symbolic CTL model...
Gianfranco Ciardo, Radu Siminiceanu
111
Voted
WACV
2005
IEEE
15 years 8 months ago
Image Segmentation by Unsupervised Sparse Clustering
In this paper, we present a novel solution of image segmentation based on positiveness by regarding the segmentation as one of the graph-theoretic clustering problems. On the cont...
Byoung-Ki Jeon, Yun-Beom Jung, Ki-Sang Hong
108
Voted
SIGIR
2004
ACM
15 years 8 months ago
Context sensitive vocabulary and its application in protein secondary structure prediction
Protein secondary structure prediction is an important step towards understanding the relation between protein sequence and structure. However, most current prediction methods use...
Yan Liu, Jaime G. Carbonell, Judith Klein-Seethara...
137
Voted
AUSDM
2006
Springer
124views Data Mining» more  AUSDM 2006»
15 years 6 months ago
Analyzing Harmonic Monitoring Data Using Data Mining
Harmonic monitoring has become an important tool for harmonic management in distribution systems. A comprehensive harmonic monitoring program has been designed and implemented on ...
Ali Asheibi, David Stirling, Danny Soetanto