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Discovering temporal frequent patterns: An optimized approach
Department of Computer Science and Engineering, Birla Institute of Technology Mesra, Patna, India.
Review
International Journal of Science and Research Archive, 2024, 12(02), 1273–1278
Article DOI: 10.30574/ijsra.2024.12.2.1366
Publication history:
Received on 30 March 2024; revised on 23 July 2024; accepted on 26 July 2024
Abstract:
Temporal frequent pattern mining is a critical area of data mining that focuses on identifying recurring set of events over time. Traditional methods often face challenges related to scalability, data complexity, and noise, necessitating the development of optimized approaches. This survey reviews the existing literature on temporal frequent pattern mining, highlights the limitations of traditional techniques, and presents recent advancements in optimized methods. The paper also discusses future directions and applications across various domains.
Keywords:
Temporal Frequent pattern Mining; Optimized Approaches; Parallel and Distributed Computing; Dynamic Time Window; Pattern Pruning Technique; Recent Advancements
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
