Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource BSSA: Binary Salp Swarm Algorithm with Hybrid Data Transformation for Feature Selection Subject The topic of the resource Data transformation; fast independent component analysis; feature selection; principal component analysis; salp swarm optimizer Description An account of the resource Feature selection is a technique commonly used in Data Mining and Machine Learning. Traditional feature selection methods, when applied to large datasets, generate a large number of feature subsets. Selecting optimal features within this high dimensional data space is time-consuming and negatively affects the system's performance. This paper proposes a new binary Salp Swarm Algorithm (bSSA) for selecting the best feature set from transformed datasets. The proposed feature selection method first transforms the original data-set using Principal Component Analysis (PCA) and fast Independent Component Analysis (fastICA) based hybrid data transformation methods; next, a binary Salp Swarm optimizer is used for finding the best features. The proposed feature selection approach improves accuracy and eliminates the selection of irrelevant features. We validate our technique on fifteen different benchmark data sets. We conduct an extensive study to measure the performance and feature selection accuracy of the proposed technique. The proposed bSSA is compared to Binary Genetic Algorithm (bGA), Binary Binomial Cuckoo Search (bBCS), Binary Grey Wolf Optimizer (bGWO), Binary Competitive Swarm Optimizer (bCSO), and Binary Crow Search Algorithm (bCSA). The proposed method attains a mean accuracy of 95.26% with 7.78% features on PCA-fastICA transformed datasets. The results show that bSSA outperforms the existing methods for the majority of the performance measures. 2013 IEEE. Creator An entity primarily responsible for making the resource Shekhawat S.S.; Sharma H.; Kumar S.; Nayyar A.; Qureshi B. Source A related resource from which the described resource is derived IEEE Access, Vol-9, pp. 14867-14882. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ACCESS.2021.3049547" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2021.3049547</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099220401&amp;doi=10.1109%2FACCESS.2021.3049547&amp;partnerID=40&amp;md5=e461dd1a5beecd5f6981967636771c09" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099220401&amp;doi=10.1109%2fACCESS.2021.3049547&amp;partnerID=40&amp;md5=e461dd1a5beecd5f6981967636771c09</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21693536 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shekhawat S.S., Department of Computer Science and Engineering, Rajasthan Technical University, Kota, 324010, India; Sharma H., Department of Computer Science and Engineering, Rajasthan Technical University, Kota, 324010, India; Kumar S., Department of Computer Science and Engineering, Christ (Deemed to Be University), Bengaluru, 560074, India; Nayyar A., Graduate School, Duy Tan University, Da Nang, 550000, Viet Nam, Faculty of Information Technology, Duy Tan University, Da Nang, 550000, Viet Nam; Qureshi B., Department of Computer Science, Prince Sultan University, Riyadh, 11586, Saudi Arabia