Data Analytics : Models and Algorithms for Intelligent Data Analysis / by Thomas A. Runkler

Von:

Runkler, Thomas A [aut]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerLink Bücher | Springer eBook Collection Computer ScienceVerlag: Wiesbaden : Springer Vieweg, 2016Auflage: 2nd ed. 2016Beschreibung: Online-Ressource (XII, 150 p. 66 illus, online resource)ISBN:

9783658140755

Schlagwörter:

Genre/Form:

Lehrbuch

Andere physische Formen: 9783658140748 | Erscheint auch als: Data analytics. Druck-Ausgabe 2nd edition. Wiesbaden : Springer Vieweg, 2016. xii, 150 Seiten | Printed edition: 9783658140748 DDC-Klassifikation:

006.312

MSC: MSC: *68-01 | 62H30 | 62J05 | 62M10 | 68P01 | 68T05RVK: RVK: ST 134 | ST 530LOC-Klassifikation:

QA76.9.D343

DOI: DOI: 10.1007/978-3-658-14075-5Online-Ressourcen:

Zusammenfassung: 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 MunichZusammenfassung: Data Analytics -- Data and Relations -- Data Preprocessing -- Data Visualization -- Correlation -- Regression -- Forecasting -- Classification -- ClusteringPPN: PPN: 1658442121Package identifier: Produktsigel: ZDB-2-SCS | ZDB-2-SEB | ZDB-2-SXCS

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