@inproceedings{b071441fe4c24ae28195798251149c4e,
title = "The effect of the characteristics of the dataset on the selection stability",
abstract = "Feature selection is an effective technique to reduce the dimensionality of a data set and to select relevant features for the domain problem. Recently, stability of feature selection methods has gained increasing attention. In fact, it has become a crucial factor in determining the goodness of a feature selection algorithm besides the learning performance. In this work, we conduct an extensive experimental study using verity of data sets and different well-known feature selection algorithms in order to study the behavior of these algorithms in terms of the stability.",
keywords = "Data distribution, Dimensionality reduction, Feature selection algorithms, Jaccard index, Sample size, Stability",
author = "Salem Alelyani and Huan Liu and Lei Wang",
year = "2011",
month = dec,
day = "1",
doi = "10.1109/ICTAI.2011.167",
language = "English (US)",
isbn = "9780769545967",
series = "Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI",
pages = "970--977",
booktitle = "Proceedings - 2011 23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011",
note = "23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011 ; Conference date: 07-11-2011 Through 09-11-2011",
}