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Decision table

Known as: Table-driven, Don't Care, Don't Care Condition 
Decision tables are a precise yet compact way to model complex rule sets and their corresponding actions. Decision tables, like flowcharts, if-then… Expand
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Papers overview

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Highly Cited
2011
Highly Cited
2011
An important objective of data mining is the development of predictive models. Based on a number of observations, a model is… Expand
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Highly Cited
2008
Highly Cited
2008
We investigate a simple semi-naive Bayesian ranking method that combines naive Bayes with induction of decision tables. Naive… Expand
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Highly Cited
2003
Highly Cited
2003
The rapid proliferation of wireless networks and mobile computing applications has changed the landscape of network security. The… Expand
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Highly Cited
2002
Highly Cited
2002
This paper analyzes the information view of rough set theory and compares it with the algebra view of rough set theory. Some… Expand
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Highly Cited
2002
Highly Cited
2002
Link adaptation to dynamically select the data transmission rate at a given time has been recognized as an effective way to… Expand
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Highly Cited
2001
Highly Cited
2001
In this paper we propose and discuss an optimized link state routing protocol, named OLSR, for mobile wireless networks. The… Expand
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Highly Cited
2001
Highly Cited
2001
This paper is devoted to the analysis of the impact of chaos-based techniques on block encryption ciphers. We present several… Expand
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Highly Cited
1996
Highly Cited
1996
The performance of relational database applications often suffers. The reason is that query optimizers require accurate… Expand
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Highly Cited
1995
Highly Cited
1995
We evaluate the power of decision tables as a hypothesis space for supervised learning algorithms. Decision tables are one of the… Expand
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Highly Cited
1969
Highly Cited
1969
Uncertainties in measurements probability distributions error analysis estimates of means and errors Monte Carlo techniques… Expand
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