@inproceedings{a394f230cdf611de9e10000ea68e967b,
title = "Classification Using Markov Blanket for Feature Selection",
abstract = "Selecting relevant features is in demand when a large data set is of interest in a classification task. It produces a tractable number of features that are sufficient and possibly improve the classification performance. This paper studies a statistical method of Markov blanket induction algorithm for filtering features and then applies a classifier using the Markov blanket predictors. The Markov blanket contains a minimal subset of relevant features that yields optimal classification performance. We experimentally demonstrate the improved performance of several classifiers using a Markov blanket induction as a feature selection method. In addition, we point out an important assumption behind the Markov blanket induction algorithm and show its effect on the classification performance.",
author = "Yifeng Zeng and Jian Luo",
year = "2009",
doi = "10.1109/GRC.2009.5255023",
language = "English",
isbn = "978-1-4244-4830-2",
pages = "743--747",
booktitle = "IEEE International Conference on Granular Computing (GrC '09)",
publisher = "IEEE",
address = "United States",
note = "The 2009 IEEE International Conference of Granular Computing, GrC 2009 ; Conference date: 17-08-2009 Through 19-08-2009",
}