Data analytics models and algorithms for intelligent data analysis

his 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. Th...

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Bibliographic Details
Main Author: Runkler, Thomas A. (Author)
Format: Book
Language:English
Published: Wiesbaden Springer Vieweg 2020
Edition:Third edition
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100 1 |a Runkler, Thomas A.  |e author 
245 1 0 |a Data analytics  |b models and algorithms for intelligent data analysis  |c Thomas A. Runkler 
250 |a Third edition 
264 1 |a Wiesbaden  |b Springer Vieweg  |c 2020 
264 4 |c © 2020 
300 |a xii, 161 pages  |b illustrations  |c 24 cm 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references and index 
520 |a his 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. 
592 |a IN/016410  |b 14/9/2022  |c RM 218.45  |h Innowawasan 
650 0 |a Data mining 
650 0 |a Data structures (Computer science) 
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