| 期刊全稱 | Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing | | 影響因子2023 | Simon James Fong,Richard C. Millham | | 視頻video | http://file.papertrans.cn/187/186380/186380.mp4 | | 發(fā)行地址 | Provides insights into recently developed bio-inspired algorithms.Presents the evaluation of traditional algorithms, both sequential and parallel, for use in data mining.Includes the latest work from | | 學(xué)科分類 | Springer Tracts in Nature-Inspired Computing | | 圖書封面 |  | | 影響因子 | .This book aims to provide some insights into recently developed bio-inspired algorithms within recent emerging trends of fog computing, sentiment analysis, and data streaming as well as to provide a more comprehensive approach to the big data management from pre-processing to analytics to visualization phases. The subject area of this book is within the realm of computer science, notably algorithms (meta-heuristic and, more particularly, bio-inspired algorithms). Although application domains of these new algorithms may be mentioned, the scope of this book is not on the application of algorithms to specific or general domains but to provide an update on recent research trends for bio-inspired algorithms within a specific application domain or emerging area. These areas include data streaming, fog computing, and phases of big data management. One of the reasons for writing this book is that the bio-inspired approach does not receive much attention but shows considerable promise and diversity in terms of approach of many issues in big data and streaming. Some novel approaches of this book are the use of these algorithms to all phases of data management (not just a particular phase su | | Pindex | Book 2021 |
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