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 Robust feature selection using rough set-based ant-lion optimizer for data classification Subject The topic of the resource ALO-Based Reduct Set; Ant-Lion Optimization (ALO); Feature Selection; Rough Set Theory Description An account of the resource The selection of an algorithm to tackle a certain problem is a vital undertaking that necessitates both time and knowledge. Non-functional needs, such as the size, quality, and nature of the data, must frequently be taken into account. To develop a generalized machine learning model for any domain, the most relevant features must be chosen because noisy and irrelevant characteristics degrade data mining performance. However, the selection of the dominating features is still dependent on the search technique. When there are a high number of input features, stochastic optimization can be applied to the search space. In this research, the authors investigate the ant lion optimization (ALO), a natureinspired algorithm that mimics the hunting process of ant lions and is further stimulated to identify the smallest reducts. They also investigate rough set-based ant lion optimizer for feature selection. The actual results reveal that the ant lion-based rough set reduct selects a better feature subset and classifies them more accurately. 2022 Information Resources Management Association. All rights reserved. Creator An entity primarily responsible for making the resource Azar A.T.; Nizar Banu P.K. Source A related resource from which the described resource is derived International Journal of Sociotechnology and Knowledge Development, Vol-14, No. 1 Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/IJSKD.301263" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/IJSKD.301263</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149997963&amp;doi=10.4018%2FIJSKD.301263&amp;partnerID=40&amp;md5=3066db39384c702e73221b8ea90b8e6a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149997963&amp;doi=10.4018%2fIJSKD.301263&amp;partnerID=40&amp;md5=3066db39384c702e73221b8ea90b8e6a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 19416253 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 Azar A.T., College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia, Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt; Nizar Banu P.K., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, India