Computational Life Sciences

Data Engineering and Data Mining for Life Sciences

Jens Dörpinghaus, Vera Weil, Sebastian Schaaf, Alexander Apke (Herausgeber)

Buch | Hardcover

XII, 598 Seiten

2023 | 2022
Springer International Publishing (Verlag)
978-3-031-08410-2 (ISBN)

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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.

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.

Erscheinungsdatum	07.03.2023
Reihe/Serie	Studies in Big Data
Zusatzinfo	XII, 598 p. 259 illus., 155 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	1139 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Informatik ► Weitere Themen ► Bioinformatik
	Naturwissenschaften ► Biologie ► Genetik / Molekularbiologie
	Technik
Schlagworte	Bioinformatics • data engineering • Data Mining • Knowledge Discovery • Life Science Informatics
ISBN-10	3-031-08410-1 / 3031084101
ISBN-13	978-3-031-08410-2 / 9783031084102
Zustand	Neuware