ISSN 2394-5125
 


    Estimating Vehicle Fuel Consumption and Emissions Based on Instantaneous Speed and Acceleration Levels (2019)


    J.VijaySree,N. Mownika,Dr.M. Murugesan
    JCR. 2019: 368-372

    Abstract

    The rapid development of business and other transaction systems over the Internet makes computer security a critical issue. In recent times, data mining and machine learning have been subjected to extensive research in intrusion detection with emphasis on improving the accuracy of detection classifier. But selecting important features from input data lead to a simplification of the problem, faster and more accurate detection rates. In this paper, we presented the relevance of each feature in KDD ’99 intrusion detection dataset to the detection of each class. Rough set degree of dependency and dependency ratio of each class were employed to determine the most discriminating features for each class. Empirical results show that seven features were not relevant in the detection of any class.

    Description

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    Volume & Issue

    Volume 6 Issue-7

    Keywords