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Discretization

Known as: Discretization method, Discretisation, Dichotomization 
In mathematics, discretization concerns the process of transferring continuous functions, models, and equations into discrete counterparts. This… 
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Papers overview

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Highly Cited
2004
Highly Cited
2004
Discrete values have important roles in data mining and knowledge discovery. They are about intervals of numbers which are more… 
Highly Cited
2004
Highly Cited
2004
An updated version of the semi‐discretization method is presented for periodic systems with a single discrete time delay. The… 
Highly Cited
2004
Highly Cited
2004
The task of extracting knowledge from databases is quite often performed by machine learning algorithms. The majority of these… 
Highly Cited
2002
Highly Cited
2002
The paper presents an efficient numerical method for the stability analysis of linear delayed systems. The method is based on a… 
Highly Cited
2002
Highly Cited
2002
For fractional-order differentiator s/sup r/ where r is a real number, its discretization is a key step in digital implementation… 
Review
2001
Review
2001
In this paper we review and further develop a class of strong stability-preserving (SSP) high-order time discretizations for… 
Highly Cited
1995
Highly Cited
1995
  • Huan LiuR. Setiono
  • Proceedings of 7th IEEE International Conference…
  • 1995
  • Corpus ID: 14173503
Discretization can turn numeric attributes into discrete ones. Feature selection can eliminate some irrelevant attributes. This… 
Highly Cited
1995
Highly Cited
1995
*Introduction. *Conservation Laws of Fluid Motion and Boundary Conditions. *Turbulence and its Modelling. *The Finite Volume… 
Highly Cited
1993
Highly Cited
1993
  • U. FayyadK. Irani
  • International Joint Conference on Artificial…
  • 1993
  • Corpus ID: 18718011
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the… 
Highly Cited
1992
Highly Cited
1992
  • R. Kerber
  • AAAI Conference on Artificial Intelligence
  • 1992
  • Corpus ID: 11126714
Many classification algorithms require that the training data contain only discrete attributes. To use such an algorithm when…