Computational Life Sciences: Data Engineering and Data Mining for Life Sciences
Author:   Jens Dörpinghaus ,  Vera Weil ,  Sebastian Schaaf ,  Alexander Apke
Publisher:   Springer International Publishing AG
Edition:   2022 ed.
Volume:   112
ISBN:  

9783031084102


Pages:   598
Publication Date:   05 March 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Computational Life Sciences: Data Engineering and Data Mining for Life Sciences


Overview

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.  

Full Product Details

Author:   Jens Dörpinghaus ,  Vera Weil ,  Sebastian Schaaf ,  Alexander Apke
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2022 ed.
Volume:   112
Weight:   1.185kg
ISBN:  

9783031084102


ISBN 10:   3031084101
Pages:   598
Publication Date:   05 March 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Interesting Programming Languages used in Life Sciences.- Introduction to Java.-  Basic Data Processing.- Algorithm Design.- Data and Knowledge Management.- Databases and Knowledge Graphs.- Knowledge Discovery and AI approaches for the Life Sciences.- Longitudinal Data.

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