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» Using Clustering Methods for Discovering Event Structures
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AMW
2010
13 years 10 months ago
Robust Clustering of Data Streams using Incremental Optimization
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
Basheer Hawwash, Olfa Nasraoui
TCSV
2008
150views more  TCSV 2008»
13 years 8 months ago
Mining Recurring Events Through Forest Growing
Recurring events are short temporal patterns that consist of multiple instances in the target database. Without any a priori knowledge of the recurring events, in terms of their le...
Junsong Yuan, Jingjing Meng, Ying Wu, Jiebo Luo
PDP
1997
IEEE
14 years 20 days ago
The controlled logical clock--a global time for trace-based software monitoring of parallel applications in workstation clusters
Event tracing and monitoring of parallel applications are difficult if each processor has its own unsynchronized clock. A survey is given on several strategies to generate a glob...
Rolf Rabenseifner
IFM
2009
Springer
132views Formal Methods» more  IFM 2009»
14 years 3 months ago
Decomposition Structures for Event-B
Abstract. Event-B provides a flexible approach to modelling and refinement of systems. In this paper we outline two important ways in which Event-B refinement can be augmented w...
Michael Butler
IUI
2010
ACM
14 years 5 months ago
Aspect-level news browsing: understanding news events from multiple viewpoints
Aspect-level news browsing provides readers with a classified view of news articles with different viewpoints. It facilitates active interactions with which readers easily discove...
Souneil Park, Sang Jeong Lee, Junehwa Song