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AIIA
2003
Springer
15 years 5 months ago
Improving the SLA Algorithm Using Association Rules
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...
PKDD
2009
Springer
146views Data Mining» more  PKDD 2009»
15 years 4 months ago
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...
Eva Besada-Portas, Sergey M. Plis, Jesús Ma...
ICMLA
2008
15 years 1 months ago
Highly Scalable SVM Modeling with Random Granulation for Spam Sender Detection
Spam sender detection based on email subject data is a complex large-scale text mining task. The dataset consists of email subject lines and the corresponding IP address of the em...
Yuchun Tang, Yuanchen He, Sven Krasser
SEDE
2007
15 years 1 months ago
Case study: A tool centric approach for fault avoidance in microchip designs
— Achieving reliability in fault tolerant systems requires both avoidance and redundancy. This study focuses on avoidance as it pertains to the design of microchips. The lifecycl...
Clemente Izurieta
CORR
2010
Springer
129views Education» more  CORR 2010»
14 years 12 months ago
Attribute oriented induction with star schema
: This paper will propose a novel star schema attribute induction as a new attribute induction paradigm and as improving from current attribute oriented induction. A novel star sch...
Spits Warnars H. L. H