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» A Data-Driven Approach for Event Prediction
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KES
2007
Springer
13 years 7 months ago
An Application of Machine Learning Methods to PM10 Level Medium-Term Prediction
The study described in this paper, analyzed the urban and suburban air pollution principal causes and identified the best subset of features (meteorological data and air pollutants...
Giovanni Raimondo, Alfonso Montuori, Walter Moniac...
ENTCS
2006
123views more  ENTCS 2006»
13 years 7 months ago
Steering of Discrete Event Systems: Control Theory Approach
Runtime verification involves monitoring the system at runtime to check for conformance of the execution trace to user defined safety properties. Typically, run-time verifiers do ...
Arvind Easwaran, Sampath Kannan, Oleg Sokolsky
PERCOM
2010
ACM
13 years 5 months ago
Predicting mobility events on personal devices
High-end mobile phones are quickly becoming versatile sensing platforms, capable of continuously capturing the dynamic context of their owners through various sensors. A change in...
Arjan J. H. Peddemors, Henk Eertink, Ignas G. Niem...
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
14 years 11 days ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
ICDM
2007
IEEE
157views Data Mining» more  ICDM 2007»
14 years 1 months ago
Failure Prediction in IBM BlueGene/L Event Logs
Frequent failures are becoming a serious concern to the community of high-end computing, especially when the applications and the underlying systems rapidly grow in size and compl...
Yinglung Liang, Yanyong Zhang, Hui Xiong, Ramendra...