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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… Expand
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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… Expand
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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… Expand
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Highly Cited
2003
Highly Cited
2003
We propose to perform turbulent flow simulations in such manner that the difference operators do have the same symmetry… Expand
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Highly Cited
2002
Highly Cited
2002
SUMMARY The paper presents an ecient numerical method for the stability analysis of linear delayed systems. The method is based… Expand
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Review
2001
Review
2001
In this paper we review and further develop a class of strong stability-preserving (SSP) high-order time discretizations for… Expand
Highly Cited
1997
Highly Cited
1997
Discretization can turn numeric attributes into discrete ones. Feature selection can eliminate some irrelevant and/or redundant… Expand
Review
1995
Review
1995
Many supervised machine learning algorithms require a discrete feature space. In this paper, we review previous work on… Expand
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Highly Cited
1995
Highly Cited
1995
  • Huan Liu, R. 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… Expand
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Highly Cited
1993
Highly Cited
1993
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the… Expand
Highly Cited
1992
Highly Cited
1992
Many classification algorithms require that the training data contain only discrete attributes. To use such an algorithm when… Expand