Robust feature selection using rough set-based ant-lion optimizer for data classification
- Title
- Robust feature selection using rough set-based ant-lion optimizer for data classification
- Creator
- Azar A.T.; Nizar Banu P.K.
- Description
- 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.
- Source
- International Journal of Sociotechnology and Knowledge Development, Vol-14, No. 1
- Date
- 2022-01-01
- Publisher
- IGI Global
- Subject
- ALO-Based Reduct Set; Ant-Lion Optimization (ALO); Feature Selection; Rough Set Theory
- Coverage
- 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
- Rights
- Restricted Access
- Relation
- ISSN: 19416253
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Azar A.T.; Nizar Banu P.K., “Robust feature selection using rough set-based ant-lion optimizer for data classification,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/15246.