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Titlebook: Recent Advances in Soft Computing and Data Mining; Proceedings of the F Rozaida Ghazali,Nazri Mohd Nawi,Nureize Arbaiy Conference proceedin

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书目名称Recent Advances in Soft Computing and Data Mining
副标题Proceedings of the F
编辑Rozaida Ghazali,Nazri Mohd Nawi,Nureize Arbaiy
视频video
概述Includes recent research on soft computing and data mining.Presents the outcomes of the Fifth International Conference on Soft Computing and Data Mining (SCDM-2022).Written by experts in the field
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Recent Advances in Soft Computing and Data Mining; Proceedings of the F Rozaida Ghazali,Nazri Mohd Nawi,Nureize Arbaiy Conference proceedin
描述.This book unfolds ways to transform data into innovative solutions perceived as new remarkable and meaningful value. It offers practical views of the concepts and techniques readers need to get the most out of their large-scale research and data mining projects. It strides them through the data-analytical thinking, circumvents the difficulty in deciphering complex data systems and obtaining commercialization value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad spectrum, an interdisciplinary field of scientific methods and processes. The book, Recent Advances in Soft Computing and Data Mining, delivers sufficient knowledge to tackle a wide range of issues seen in complex systems. This is done by exploring a vast combination of practices and applications by incorporating these two domains. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must choose the best design to approach theproblem with the most efficient tools and techniques. To thrive in these data-driven ecosystems, researchers, data analysts, and practitioners must understand the design choice and options of these approaches
出版日期Conference proceedings 2022
关键词Soft Computing and its applications; Data Mining and its applications; Intelligent Computing; SCDM; SCDM
版次1
doihttps://doi.org/10.1007/978-3-031-00828-3
isbn_softcover978-3-031-00830-6
isbn_ebook978-3-031-00828-3Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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