| 书目名称 | Scientific Data Mining and Knowledge Discovery | | 副标题 | Principles and Found | | 编辑 | Mohamed Medhat Gaber | | 视频video | | | 概述 | Includes supplementary material: | | 图书封面 |  | | 描述 | Mohamed Medhat Gaber “It is not my aim to surprise or shock you – but the simplest way I can summarise is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until – in a visible future – the range of problems they can handle will be coextensive with the range to which the human mind has been applied” by Herbert A. Simon (1916-2001) 1Overview This book suits both graduate students and researchers with a focus on discovering knowledge from scienti c data. The use of computational power for data analysis and knowledge discovery in scienti c disciplines has found its roots with the re- lution of high-performance computing systems. Computational science in physics, chemistry, and biology represents the rst step towards automation of data analysis tasks. The rational behind the developmentof computationalscience in different - eas was automating mathematical operations performed in those areas. There was no attention paid to the scienti c discovery process. Automated Scienti c Disc- ery (ASD) [1–3] represents the second natural step. ASD attempted to automate the process of theory | | 出版日期 | Book 2010 | | 关键词 | Data Streams; Statistical Inference; bioinformatics; data analysis; data mining; evolution; knowledge; know | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-02788-8 | | isbn_softcover | 978-3-642-42624-7 | | isbn_ebook | 978-3-642-02788-8 | | copyright | Springer-Verlag Berlin Heidelberg 2010 |
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发表于 2025-3-21 16:06:15
