Sentence examples for based feature selection technique from inspiring English sources

To support outlier-based network anomaly identification, we use the following modules: a mutual information and generalized entropy based feature selection technique to select a relevant non-redundant subset of features, a tree-based clustering technique to generate a set of reference points and an outlier score function to rank incoming network traffic to identify anomalies.

It is a non-threshold based feature selection technique and has been successfully applied in many fields [21, 22].

Tsang et al. use a MOGFIDS (fuzzy-logic based) feature selection technique on KDD-Cup99 [38] and achieved the best overall feature selection results as compared to eleven other techniques in terms of classification accuracy.

This is precisely the aim of this paper, which is to be realized through a simulation study involving vigorous analyses of predictor sets found using the DDP-based feature selection technique and simple but illustrative examples using toy datasets.

Among initially extracted 222 features by two voice programs, Hidden Markov Model Toolkit (HTK) and Praat, 88 features were selected by a genetic algorithm-based feature selection technique and employed for voice analysis.

We now propose to establish the fundamental strengths and merits of the DDP-based feature selection technique.

However, we have yet to establish the fundamental strengths and merits of the DDP-based feature selection technique.

A wrapper-based feature selection technique is used for finding the most discriminative features for each AC individually.

The idea behind the correlation-based feature selection technique is to find a subset in which features are uncorrelated with each other but highly correlated to the class [38].

In this study, frequency-based feature selection technique has been used to identify best fingerprints.

MDR could be viewed as an alternative, simple method for a boosting-based feature selection technique.