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» Temporal granular logic for temporal data mining
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TKDE
2008
128views more  TKDE 2008»
14 years 11 months ago
Mixed-Drove Spatiotemporal Co-Occurrence Pattern Mining
Mixed-drove spatiotemporal co-occurrence patterns (MDCOPs) represent subsets of two or more different object-types whose instances are often located in spatial and temporal proximi...
Mete Celik, Shashi Shekhar, James P. Rogers, James...
DAWAK
1999
Springer
15 years 4 months ago
Mining Interval Time Series
Data mining can be used to extensively automate the data analysis process. Techniques for mining interval time series, however, have not been considered. Such time series are commo...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
KDD
2010
ACM
217views Data Mining» more  KDD 2010»
14 years 10 months ago
Mining program workflow from interleaved traces
Successful software maintenance is becoming increasingly critical due to the increasing dependence of our society and economy on software systems. One key problem of software main...
Jian-Guang Lou, Qiang Fu, Shengqi Yang, Jiang Li, ...
LISA
2007
15 years 2 months ago
Network Patterns in Cfengine and Scalable Data Aggregation
Network patterns are based on generic algorithms that execute on tree-based overlays. A set of such patterns has been developed at KTH to support distributed monitoring in network...
Mark Burgess, Matthew Disney, Rolf Stadler
MEMOCODE
2008
IEEE
15 years 6 months ago
From Data to Events: Checking Properties on the Control of a System
We present a component-based description language for heterogeneous systems composed of several data flow processing components and a unique eventbased controller. Descriptions a...
Christophe Jacquet, Frédéric Boulang...