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.
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
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 24 Nov. 2024.
Sivakumar, Venkataraman . "Feature Selection Methods: a Survey for Effective Data Classification". Afribary, Afribary, 30 Mar. 2024. Web. 24 Nov. 2024. < https://afribary.com/works/feature-selection-methods-a-survey-for-effective-data-classification >.
Sivakumar, Venkataraman . "Feature Selection Methods: a Survey for Effective Data Classification" Afribary (2024). Accessed November 24, 2024. https://afribary.com/works/feature-selection-methods-a-survey-for-effective-data-classification