Computational life sciences: data engineering and data mining for life sciences
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 technica...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2022]
|
| Schriftenreihe: | Studies in big data
volume 112 |
| Schlagworte: | |
| Zusammenfassung: | 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 |
| Beschreibung: | 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 |
| Beschreibung: | xii, 595 Seiten Illustrationen 1185 grams |
| ISBN: | 9783031084102 |
Internformat
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| 520 | |a 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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| spelling | Computational life sciences data engineering and data mining for life sciences Jens Dörpinghaus, Vera Weil, Sebastian Schaaf, Alexander Apke, editors Cham, Switzerland Springer [2022] xii, 595 Seiten Illustrationen 1185 grams txt rdacontent n rdamedia nc rdacarrier Studies in big data volume 112 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 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 Bioinformatics Big data Computational intelligence Engineering—Data processing Data Mining (DE-588)4428654-5 gnd rswk-swf Verteiltes System (DE-588)4238872-7 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Bioinformatik (DE-588)4611085-9 gnd rswk-swf Wissensrepräsentation (DE-588)4049534-6 gnd rswk-swf Hardcover, Softcover / Technik/Allgemeines, Lexika (DE-588)4143413-4 Aufsatzsammlung gnd-content Bioinformatik (DE-588)4611085-9 s Datenanalyse (DE-588)4123037-1 s Data Mining (DE-588)4428654-5 s Wissensrepräsentation (DE-588)4049534-6 s Verteiltes System (DE-588)4238872-7 s DE-604 Dörpinghaus, Jens (DE-588)1159997500 edt Weil, Vera Sharon 1982- (DE-588)1070886858 edt Schaaf, Sebastian (DE-588)1224422341 edt Apke, Alexander (DE-588)1168663474 edt Erscheint auch als Online-Ausgabe 978-3-031-08411-9 Studies in big data volume 112 (DE-604)BV041647338 112 |
| spellingShingle | Computational life sciences data engineering and data mining for life sciences Studies in big data Bioinformatics Big data Computational intelligence Engineering—Data processing Data Mining (DE-588)4428654-5 gnd Verteiltes System (DE-588)4238872-7 gnd Datenanalyse (DE-588)4123037-1 gnd Bioinformatik (DE-588)4611085-9 gnd Wissensrepräsentation (DE-588)4049534-6 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4238872-7 (DE-588)4123037-1 (DE-588)4611085-9 (DE-588)4049534-6 (DE-588)4143413-4 |
| title | Computational life sciences data engineering and data mining for life sciences |
| title_auth | Computational life sciences data engineering and data mining for life sciences |
| title_exact_search | Computational life sciences data engineering and data mining for life sciences |
| title_exact_search_txtP | Computational life sciences data engineering and data mining for life sciences |
| title_full | Computational life sciences data engineering and data mining for life sciences Jens Dörpinghaus, Vera Weil, Sebastian Schaaf, Alexander Apke, editors |
| title_fullStr | Computational life sciences data engineering and data mining for life sciences Jens Dörpinghaus, Vera Weil, Sebastian Schaaf, Alexander Apke, editors |
| title_full_unstemmed | Computational life sciences data engineering and data mining for life sciences Jens Dörpinghaus, Vera Weil, Sebastian Schaaf, Alexander Apke, editors |
| title_short | Computational life sciences |
| title_sort | computational life sciences data engineering and data mining for life sciences |
| title_sub | data engineering and data mining for life sciences |
| topic | Bioinformatics Big data Computational intelligence Engineering—Data processing Data Mining (DE-588)4428654-5 gnd Verteiltes System (DE-588)4238872-7 gnd Datenanalyse (DE-588)4123037-1 gnd Bioinformatik (DE-588)4611085-9 gnd Wissensrepräsentation (DE-588)4049534-6 gnd |
| topic_facet | Bioinformatics Big data Computational intelligence Engineering—Data processing Data Mining Verteiltes System Datenanalyse Bioinformatik Wissensrepräsentation Aufsatzsammlung |
| volume_link | (DE-604)BV041647338 |
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