78 search results - page 1 / 16 » Improvement of Decision Accuracy Using Discretization of Con... |
FSKD
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. The na
PKDD
1999
Springer
13 years 9 months ago
1999
Springer
Abstract. We describe EDRL-MD, an evolutionary algorithm-based system, for learning decision rules from databases. The main novelty of our approach lies in dealing with continuous ...
MLDM
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
ICDE
2000
IEEE
14 years 6 months ago
2000
IEEE
Most decision tree classifiers are designed to keep class histograms for single attributes, and to select a particular attribute for the next split using said histograms. In this ...
IJCAI
1993
13 years 6 months ago
1993
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...