| 书目名称 | Development Methodologies for Big Data Analytics Systems | | 副标题 | Plan-driven, Agile, | | 编辑 | Manuel Mora,Fen Wang,Hector Duran-Limon | | 视频video | | | 概述 | Addresses the mathematical, statistical and computational foundations and techniques of Big Data Analytics.Includes specific research problems in the development methodologies from a Systems and Softw | | 丛书名称 | Transactions on Computational Science and Computational Intelligence | | 图书封面 |  | | 描述 | This book presents research in big data analytics (BDA) for business of all sizes. The authors analyze problems presented in the application of BDA in some businesses through the study of development methodologies based on the three approaches – 1) plan-driven, 2) agile and 3) hybrid lightweight. The authors first describe BDA systems and how they emerged with the convergence of Statistics, Computer Science, and Business Intelligent Analytics with the practical aim to provide concepts, models, methods and tools required for exploiting the wide variety, volume, and velocity of available business internal and external data - i.e. Big Data – and provide decision-making value to decision-makers. The book presents high-quality conceptual and empirical research-oriented chapters on plan-driven, agile, and hybrid lightweight development methodologies and relevant supporting topics for BDA systems suitable to be used for large-, medium-, and small-sized business organizations.. | | 出版日期 | Book 2024 | | 关键词 | Big Data Analytics Systems; Big Data Development Methodologies; CRISP-DM; SEMMA and KDD; Scrum; Agile pra | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-40956-1 | | isbn_softcover | 978-3-031-40958-5 | | isbn_ebook | 978-3-031-40956-1Series ISSN 2569-7072 Series E-ISSN 2569-7080 | | issn_series | 2569-7072 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 16:58:04
