315 search results - page 32 / 63 » Data Mining Algorithms to Classify Students |
KDD
1999
ACM
15 years 1 months ago
1999
ACM
Satisfying the basic requirements of accuracy and understandability of a classifier, decision tree classifiers have become very popular. Instead of constructing the decision tree ...
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SSPR
2004
Springer
15 years 2 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
CIKM
2006
Springer
15 years 1 months ago
2006
Springer
In many applications, classifiers need to be built based on multiple related data streams. For example, stock streams and news streams are related, where the classification patter...
AUSDM
2006
Springer
15 years 1 months ago
2006
Springer
When different subsamples of the same data set are used to induce classification trees, the structure of the built classifiers is very different. The stability of the structure of ...