Feature Selection Methods: a Survey for Effective Data Classification

Abstract:

Data is growing every day. This daily growing data is called Big Data. The capturing and accessing

and preserving of these data is different and difficult. If capturing and preserving of data became

very difficult, then classifying data according to the need is also a difficult process. These modern

days datasets are high dimensional that is with hundreds of features and keeps on increasing in

future. But these hundreds of data are not required for an effective data classification. The aim of

this survey is to give a complete review on the different feature selection methods to improve the

accuracy of the data classification.

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APA

Sivakumar, V (2024). Feature Selection Methods: a Survey for Effective Data Classification. Afribary. Retrieved from https://afribary.com/works/feature-selection-methods-a-survey-for-effective-data-classification

MLA 8th

Sivakumar, Venkataraman "Feature Selection Methods: a Survey for Effective Data Classification" Afribary. Afribary, 30 Mar. 2024, https://afribary.com/works/feature-selection-methods-a-survey-for-effective-data-classification. Accessed 20 May. 2024.

MLA7

Sivakumar, Venkataraman . "Feature Selection Methods: a Survey for Effective Data Classification". Afribary, Afribary, 30 Mar. 2024. Web. 20 May. 2024. < https://afribary.com/works/feature-selection-methods-a-survey-for-effective-data-classification >.

Chicago

Sivakumar, Venkataraman . "Feature Selection Methods: a Survey for Effective Data Classification" Afribary (2024). Accessed May 20, 2024. https://afribary.com/works/feature-selection-methods-a-survey-for-effective-data-classification