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Data analytics: models and algorithms for intelligent data analysis
Kategorie	Beschreibung
036a	XA-DE
037b	eng
077a	1691585947 Erscheint auch als (Druck-Ausgabe): ‡Runkler, Thomas A.: Data analytics
087q	978-3-658-29778-7
087q	978-3-658-29780-0
100	Runkler, Thomas A. ¬[VerfasserIn]¬
200b	Springer Vieweg ¬[Verlag]¬
331	Data analytics
335	models and algorithms for intelligent data analysis
403	Third edition
410	Wiesbaden
412	Springer Vieweg
425	[2020]
425a	2020
433	1 Online-Ressource (XII, 161 Seiten) : Illustrationen
451b	Springer eBook Collection
527	Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-658-29778-7
527	Erscheint auch als (Druck-Ausgabe)ISBN: 978-3-658-29780-0
527	Erscheint auch als (Druck-Ausgabe): ‡Runkler, Thomas A.: Data analytics
540a	ISBN 978-3-658-29779-4
700	\|UNF
700	\|COM021030
700b	\|006.312
700g	1272555585 ST 530
750	Introduction -- Data and Relations -- Data Preprocessing -- Data Visualization -- Correlation -- Regression -- Forecasting -- Classification -- Clustering.
753	This book is a comprehensive introduction to the methods and algorithms of modern data analytics. It provides a sound mathematical basis, discusses advantages and drawbacks of different approaches, and enables the reader to design and implement data analytics solutions for real-world applications. This book has been used for more than ten years in the Data Mining course at the Technical University of Munich. Much of the content is based on the results of industrial research and development projects at Siemens. Content • Data Analytics • Data and Relations • Data Preprocessing • Data Visualization • Correlation • Regression • Forecasting • Classification • Clustering Target Groups Students of computer science, mathematics and engineering Data analytics practitioners The Author Thomas A. Runkler is Principal Research Scientist at Siemens Corporate Technology and Professor for Computer Science at the Technical University of Munich.
902s	209556331 Datenanalyse
902s	212347217 Data Mining
012	1699181551
081	Data Analytics
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttps://doi.org/10.1007/978-3-658-29779-4