Nov 14, 2013 . The issue of model selection for classification problems is well studied in . work on this topic in the area of machine learning / data mining:
K. Gibert et al. / Choosing the Right Data Mining Technique: Classification of Methods and Intelligent . • Selecting the data mining algorithm/s: once the task is.
erable thought and effort have been given to both designing meaningful features and choosing the classifiers. We use the term feature mining to refer to the task.
Intrusion detection techniques using data mining have attracted more and . for classifier algorithm selection regarding the best performing algorithms for each.
plications in text classification, Web mining, gene expression micro-array . the classifier parameters. This bias known as 'feature subset selection bias' or 'selec-.
mining methods in multiple classification situations has important .. through a process of selection and combination of case attributes, and each employs.
The use of data mining methods in corporate decision making has been .. Classifiers and Feature Selection Methods Using Optimized Parameters 121. 46.
adapt sequence mining techniques to act as a preprocessor to select features for standard classification algorithms such as Naive Bayes and Winnow.
Abstract—Classification Rule Mining (CRM) is a Data. Mining technique for . select the k “significant rules” among the 2n-1 possible CARs. We use the acronym.