| 書目名稱 | Computational Life Sciences |
| 副標(biāo)題 | Data Engineering and |
| 編輯 | Jens D?rpinghaus,Vera Weil,Alexander Apke |
| 視頻video | http://file.papertrans.cn/233/232579/232579.mp4 |
| 概述 | Introduces data engineering, data mining and other computational challenges in Life Science Informatics.Presents quick introductions to all important topics like programming, databases, and data proce |
| 叢書名稱 | Studies in Big Data |
| 圖書封面 |  |
| 描述 | This book broadly covers the given spectrum of disciplines in Computational Life Sciences, transforming it into a strong helping hand for teachers, students, practitioners and researchers. In Life Sciences, problem-solving and data analysis often depend on biological expertise combined with technical skills in order to generate, manage and efficiently analyse big data. These technical skills can easily be enhanced by good theoretical foundations, developed from well-chosen practical examples and inspiring new strategies. This is the innovative approach of Computational Life Sciences-Data Engineering and Data Mining for Life Sciences: We present basic concepts, advanced topics and emerging technologies, introduce algorithm design and programming principles, address data mining and knowledge discovery as well as applications arising from real projects. Chapters are largely independent and often flanked by illustrative examples and practical advise. ..?. |
| 出版日期 | Book 2022 |
| 關(guān)鍵詞 | Data Engineering; Data Mining; Life Science Informatics; Bioinformatics; Knowledge Discovery |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-08411-9 |
| isbn_softcover | 978-3-031-08413-3 |
| isbn_ebook | 978-3-031-08411-9Series 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 |
|Archiver|手機(jī)版|小黑屋|
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