Data science for complex systems:
This text provides an accessible guide to the tools and techniques of data science that can be utilised for the analysis of complex systems. This text is an invaluable resource for scientists, engineers and social scientists who require effective analysis of large quantities of data
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2023
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| Schlagworte: | |
| Online-Zugang: | BSB01 BTU01 FHN01 UBG01 UBW01 URL des Erstveröffentlichers |
| Zusammenfassung: | This text provides an accessible guide to the tools and techniques of data science that can be utilised for the analysis of complex systems. This text is an invaluable resource for scientists, engineers and social scientists who require effective analysis of large quantities of data |
| Beschreibung: | Also issued in print: 2023. - Includes bibliographical references and index |
| Beschreibung: | 1 Online-Ressource (x, 293 Seiten) Illustrationen |
| ISBN: | 9781108953597 |
| DOI: | 10.1017/9781108953597 |
Internformat
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Datensatz im Suchindex
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| author | Chakrabarti, Anindya S. Bakar, K. Shuvo Chakraborti, Anirban 1975- |
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| author_facet | Chakrabarti, Anindya S. Bakar, K. Shuvo Chakraborti, Anirban 1975- |
| author_role | aut aut aut |
| author_sort | Chakrabarti, Anindya S. |
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| bvnumber | BV049065523 |
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| dewey-full | 006.312 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1017/9781108953597 |
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| isbn | 9781108953597 |
| language | English |
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| spelling | Chakrabarti, Anindya S. (DE-588)120366477X aut Data science for complex systems Anindya S. Chakrabarti, K. Shuvo Bakar, Anirban Chakraborti Cambridge Cambridge University Press 2023 1 Online-Ressource (x, 293 Seiten) Illustrationen txt rdacontent sti rdacontent c rdamedia cr rdacarrier Also issued in print: 2023. - Includes bibliographical references and index This text provides an accessible guide to the tools and techniques of data science that can be utilised for the analysis of complex systems. This text is an invaluable resource for scientists, engineers and social scientists who require effective analysis of large quantities of data Data mining Computational complexity System theory / Data processing Data Science (DE-588)1140936166 gnd rswk-swf Komplexes System (DE-588)4114261-5 gnd rswk-swf Komplexes System (DE-588)4114261-5 s Data Science (DE-588)1140936166 s DE-604 Bakar, K. Shuvo (DE-588)1293179183 aut Chakraborti, Anirban 1975- (DE-588)1033962120 aut Erscheint auch als Druck-Ausgabe 978-1-108-84479-6 https://doi.org/10.1017/9781108953597 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Chakrabarti, Anindya S. Bakar, K. Shuvo Chakraborti, Anirban 1975- Data science for complex systems Data mining Computational complexity System theory / Data processing Data Science (DE-588)1140936166 gnd Komplexes System (DE-588)4114261-5 gnd |
| subject_GND | (DE-588)1140936166 (DE-588)4114261-5 |
| title | Data science for complex systems |
| title_auth | Data science for complex systems |
| title_exact_search | Data science for complex systems |
| title_exact_search_txtP | Data science for complex systems |
| title_full | Data science for complex systems Anindya S. Chakrabarti, K. Shuvo Bakar, Anirban Chakraborti |
| title_fullStr | Data science for complex systems Anindya S. Chakrabarti, K. Shuvo Bakar, Anirban Chakraborti |
| title_full_unstemmed | Data science for complex systems Anindya S. Chakrabarti, K. Shuvo Bakar, Anirban Chakraborti |
| title_short | Data science for complex systems |
| title_sort | data science for complex systems |
| topic | Data mining Computational complexity System theory / Data processing Data Science (DE-588)1140936166 gnd Komplexes System (DE-588)4114261-5 gnd |
| topic_facet | Data mining Computational complexity System theory / Data processing Data Science Komplexes System |
| url | https://doi.org/10.1017/9781108953597 |
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