Data analytics : models and algorithms for intelligent data analysis /
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Author / Creator: | Runkler, Thomas A., author. |
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Edition: | 2nd edition. |
Imprint: | Wiesbaden : Springer Vieweg, 2016. |
Description: | 1 online resource |
Language: | English |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11265043 |
ISBN: | 9783658140755 3658140755 3658140747 9783658140748 9783658140748 |
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Digital file characteristics: | text file PDF |
Notes: | Includes bibliographical references and index. Online resource; title from PDF title page (SpringerLink, viewed August 2, 2016). |
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 ℓ́Ø Data Analytics ℓ́Ø Data and Relations ℓ́Ø Data Preprocessing ℓ́Ø Data Visualization ℓ́Ø Correlation ℓ́Ø Regression ℓ́Ø Forecasting ℓ́Ø Classification ℓ́Ø 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. |
Other form: | Printed edition: 9783658140748 |
Standard no.: | 10.1007/978-3-658-14075-5 |
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