Feature Selection is the technique used to select the features from microarray dataset. The selected feature must provide high accuracy to the intended classifier. An ordinary microarray dataset will have the characteristics such as high dimensionality limited sample and a large amount of noisy data. This basic features of microarray dataset will reduce the classification accuracy and elevate the run time of the proposed algorithm. To overcome this problem, dimensionality reduction techniques are deployed on the proposed dataset. Different dimensionality reduction techniques are available and they can be mainly categorised as feature selection and feature extraction. This research work focuses mainly on the filter based feature selection method. The proposed filter based combination method for performing dimensionality reduction is named as Feature selection of Gene expression data for Cancer Classification by using Score based Criteria Fusion (SCF) with SVM. The primary aim of the proposed research work is to minimize the classification time and make significant progression in the accuracy of algorithm.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Feature Selection of Gene expression data for Cancer Classification using SCF with SVM


    Contributors:


    Publication date :

    2020-11-05


    Size :

    289078 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Efficient Feature Selection Model for Gene Expression Data

    Saengsiri, P. / Wichian, S.N. / Meesad, P. | British Library Conference Proceedings | 2012


    Feature Selection for Web Page Classification Using Swarm Optimization

    B. Leela Devi / A. Sankar | BASE | 2015

    Free access


    Feature Selection and Classification Algorithm for Region of Interest in Lung Cancer CAD System

    Wei, Y. / Guo, W. / Sun, Y.-f. et al. | British Library Online Contents | 2008