Feature Selection in an Electric Billing Database Considering Attribute Inter-dependencies

@inproceedings{MejaLavalle2006FeatureSI,
  title={Feature Selection in an Electric Billing Database Considering Attribute Inter-dependencies},
  author={Manuel Mej{\'i}a-Lavalle and Eduardo F. Morales},
  booktitle={Industrial Conference on Data Mining},
  year={2006}
}
With the increasing size of databases, feature selection has become a relevant and challenging problem for the area of knowledge discovery in databases. An effective feature selection strategy can significantly reduce the data mining processing time, improve the predicted accuracy, and help to understand the induced models, as they tend to be smaller and make more sense to the user. Many feature selection algorithms assumed that the attributes are independent between each other given the class… CONTINUE READING

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