书目名称 | Hypothesis Generation and Interpretation |
副标题 | Design Principles an |
编辑 | Hiroshi Ishikawa |
视频video | |
概述 | Provides an integrated perspective on why decisions are made and how the process is modeled.Presentation of design patterns enables use in a wide variety of big-data applications.Multiple practical us |
丛书名称 | Studies in Big Data |
图书封面 |  |
描述 | This book focuses in detail on data science and data analysis and emphasizes the importance of data engineering and data management in the design of big data applications. The author uses patterns discovered in a collection of big data applications to provide design principles for hypothesis generation, integrating big data processing and management, machine learning and data mining techniques..The book proposes and explains innovative principles for interpreting hypotheses by integrating micro-explanations (those based on the explanation of analytical models and individual decisions within them) with macro-explanations (those based on applied processes and model generation). Practical case studies are used to demonstrate how hypothesis-generation and -interpretation technologies work. These are based on “social infrastructure” applications like in-bound tourism, disaster management, lunar and planetary exploration, and treatment of infectious diseases...The novel methods and technologies proposed in .Hypothesis Generation and Interpretation. are supported by the incorporation of historical perspectives on science and an emphasis on the origin and development of the ideas behind th |
出版日期 | Book 2024 |
关键词 | Hypothesis Generation; Hypothesis Interpretation; Big Data; Data Engineering; Data Science; Data Manageme |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-031-43540-9 |
isbn_softcover | 978-3-031-43542-3 |
isbn_ebook | 978-3-031-43540-9Series ISSN 2197-6503 Series E-ISSN 2197-6511 |
issn_series | 2197-6503 |
copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |