Computational Life Sciences

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181,89 

Data Engineering and Data Mining for Life Sciences, Studies in Big Data 112

ISBN: 3031084101
ISBN 13: 9783031084102
Herausgeber: Jens Dörpinghaus/Vera Weil/Sebastian Schaaf et al
Verlag: Springer Verlag GmbH
Umfang: xii, 598 S., 104 s/w Illustr., 155 farbige Illustr., 598 p. 259 illus., 155 illus. in color.
Erscheinungsdatum: 05.03.2023
Auflage: 1/2023
Produktform: Gebunden/Hardback
Einband: Gebunden

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.

Artikelnummer: 5705118 Kategorie:

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E-Mail: juergen.hartmann@springer.com

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