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ECAI
2004
Springer
15 years 5 months ago
Exploiting Association and Correlation Rules - Parameters for Improving the K2 Algorithm
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
Evelina Lamma, Fabrizio Riguzzi, Sergio Storari
AIMS
2007
Springer
15 years 6 months ago
Improving Anomaly Detection Event Analysis Using the EventRank Algorithm
Abstract. We discuss an approach to reducing the number of events accepted by anomaly detection systems, based on alternative schemes for interest-ranking. The basic assumption is ...
Kyrre M. Begnum, Mark Burgess
EUROPAR
2000
Springer
15 years 3 months ago
Cache Remapping to Improve the Performance of Tiled Algorithms
With the increasing processing power, the latency of the memory hierarchy becomes the stumbling block of many modern computer architectures. In order to speed-up the calculations, ...
Kristof Beyls, Erik H. D'Hollander
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
15 years 5 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
EURODAC
1995
IEEE
112views VHDL» more  EURODAC 1995»
15 years 3 months ago
On implementation choices for iterative improvement partitioning algorithms
Iterative improvement partitioning algorithms such as the FM algorithm of Fiduccia and Mattheyses 8 , the algorithm of Krishnamurthy 13 , and Sanchis's extensions of these al...
Lars W. Hagen, Dennis J.-H. Huang, Andrew B. Kahng