首页|Universiti Kebangsaan Malaysia Researcher Reveals New Findings on Intelligent Sy stems (A systematic review of symbiotic organisms search algorithm for data clus tering and predictive analysis)
Universiti Kebangsaan Malaysia Researcher Reveals New Findings on Intelligent Sy stems (A systematic review of symbiotic organisms search algorithm for data clus tering and predictive analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on intelligent systems is the subjec t of a new report. According to news originating from Selangor, Malaysia, by New sRx editors, the research stated, "In recent years, the field of data analytics has witnessed a surge in innovative techniques to handle the ever-increasing vol ume and complexity of data. Among these, nature-inspired algorithms have gained significant attention due to their ability to efficiently mimic natural processe s and solve intricate problems." Our news reporters obtained a quote from the research from Universiti Kebangsaan Malaysia: "One such algorithm, the symbiotic organisms search (SOS) Algorithm, has emerged as a promising approach for clustering and predictive analytics task s, drawing inspiration from the symbiotic relationships observed in biological e cosystems. Metaheuristics such as the SOS have been frequently employed in clust ering to discover suitable solutions for complicated issues. Despite the numerou s research works on clustering and SOS-based predictive techniques, there have b een minimal secondary investigations in the field. The aim of this study is to f ill this gap by performing a systematic literature review (SLR) on SOS-based clu stering models focusing on various aspects, including the adopted clustering app roach, feature selection approach, and hybridized algorithms combining K-means a lgorithm with different SOS algorithms. This review aims to guide researchers to better understand the issues and challenges in this area. The study assesses th e unique articles published in journals and conferences over the last ten years (2014-2023). After the abstract and full-text eligibility analysis, a limited nu mber of articles were considered for this SLR."
Universiti Kebangsaan MalaysiaSelangorMalaysiaAsiaAlgorithmsData ClusteringEmerging TechnologiesIntelligen t SystemsMachine LearningSearch Algorithms
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