A Feature Subset Selection Method Based On High-Dimensional Mutual Information
نویسندگان
چکیده
منابع مشابه
A Feature Subset Selection Method Based On High-Dimensional Mutual Information
Feature selection is an important step in building accurate classifiers and provides better understanding of the data sets. In this paper, we propose a feature subset selection method based on high-dimensional mutual information. We also propose to use the entropy of the class attribute as a criterion to determine the appropriate subset of features when building classifiers. We prove that if th...
متن کاملA Feature Subset Selection Method Based On High-Dimensional Mutual Information
Feature selection is an important step in building accurate classifiers and provides better understanding of the data sets. In this paper, we propose a feature subset selection method based on high-dimensional mutual information. We also propose to use the entropy of the class attribute as a criterion to determine the appropriate subset of features when building classifiers. We prove that if th...
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Feature subset selection is one of the key problems in the area of pattern recognition and machine learning. Feature subset selection refers to the problem of selecting only those features that are useful in predicting a target concept i. e. class. Most of the data acquired through different sources are not particularly screened for any specific task e. g. classification, clustering, anomaly de...
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Intrusion detection systems are designed to provide security in computer networks, so that if the attacker crosses other security devices, they can detect and prevent the attack process. One of the most essential challenges in designing these systems is the so called curse of dimensionality. Therefore, in order to obtain satisfactory performance in these systems we have to take advantage of app...
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Feature selection is used to choose a subset of relevant features for effective classification of data. In high dimensional data classification, the performance of a classifier often depends on the feature subset used for classification. In this paper, we introduce a greedy feature selection method using mutual information. This method combines both feature–feature mutual information and featur...
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ژورنال
عنوان ژورنال: Entropy
سال: 2011
ISSN: 1099-4300
DOI: 10.3390/e13040860