Discretization

Known as: Discretization method, Discretisation, Dichotomization 
In mathematics, discretization concerns the process of transferring continuous functions, models, and equations into discrete counterparts. This… (More)
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Topic mentions per year

Topic mentions per year

1959-2018
05001000150019592018

Papers overview

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Highly Cited
2008
Highly Cited
2008
Quantitative attributes are usually discretized in Naive-Bayes learning. We establish simple conditions under which… (More)
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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… (More)
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Highly Cited
2003
Highly Cited
2003
We develop a unifying perspective on several decompositions exhibiting directional parabolic scaling. In each decomposition, the… (More)
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Highly Cited
2002
Highly Cited
2002
Discrete values have important roles in data mining and knowledge discovery. They are about intervals of numbers which are more… (More)
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Highly Cited
2002
Highly Cited
2002
The application of kernel-based learning algorithms has, so far, largely been confined to realvalued data and a few special data… (More)
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Highly Cited
2002
Highly Cited
2002
ÐSince the ChiMerge algorithm was first proposed by Kerber in 1992, it has become a widely used and discussed discretization… (More)
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Highly Cited
1997
Highly Cited
1997
We consider probabilistic inference in general hybrid networks, which include continuous and discrete variables in an arbitrary… (More)
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Highly Cited
1997
Highly Cited
1997
| Discretization can turn numeric attributes into discrete ones. Feature selection can eliminate some irrelevant and/or redundant… (More)
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Highly Cited
1995
Highly Cited
1995
Discretization can turn numeric attributes into discrete ones. Feature selection can eliminate some irrelevant attributes. This… (More)
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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… (More)
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