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

By:

Runkler, Thomas A [aut]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Springer eBook Collection Computer SciencePublisher: Wiesbaden : Springer Vieweg, 2016Edition: 2nd ed. 2016Description: Online-Ressource (XII, 150 p. 66 illus, online resource)ISBN:

9783658140755

Subject(s):

Genre/Form:

Lehrbuch

Additional physical formats: 9783658140748 | Erscheint auch als: Data analytics. Druck-Ausgabe 2nd edition. Wiesbaden : Springer Vieweg, 2016. xii, 150 Seiten | Printed edition: 9783658140748 DDC classification:

006.312

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

QA76.9.D343

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

Summary: 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 MunichSummary: 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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