315 search results - page 44 / 63 » Data Mining Algorithms to Classify Students |
DAGSTUHL
2004
14 years 11 months ago
2004
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
77
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SEBD
2008
14 years 11 months ago
2008
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
112
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IDA
2006
Springer
14 years 9 months ago
2006
Springer
Symbolic data analysis aims at generalizing some standard statistical data mining methods, such as those developed for classification tasks, to the case of symbolic objects (SOs). ...
98
Voted
KDD
2007
ACM
15 years 10 months ago
2007
ACM
In analyzing data from social and communication networks, we encounter the problem of classifying objects where there is an explicit link structure amongst the objects. We study t...