Computational Life Sciences: Data Engineering and Data Mining for Life Sciences (Studies in Big Data, 112, Band 112) - Softcover

 
9783031084133: Computational Life Sciences: Data Engineering and Data Mining for Life Sciences (Studies in Big Data, 112, Band 112)
Softcover
ISBN 10: 3031084136 ISBN 13: 9783031084133
Verlag: Springer, 2024

Inhaltsangabe

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.

 

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Von der hinteren Coverseite

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.

 

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
3031084136
ISBN 13 
9783031084133
Einband
Taschenbuch
Anzahl der Seiten
610
Herausgeber
Dörpinghaus Jens, Weil Vera, Schaaf Sebastian, Apke Alexander
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Deutschland

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9783031084102: Computational Life Sciences: Data Engineering and Data Mining for Life Sciences (Studies in Big Data, 112, Band 112)

Vorgestellte Ausgabe

ISBN 10:  3031084101 ISBN 13:  9783031084102
Verlag: Springer, 2023
Hardcover