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Data analytics: models and algorithms for intelligent data analysis
Material type:
TextLanguage: English Publication details: Munchen: Springer Vieweg, 2016. Edition: 2nd edDescription: xii,150p.; 22cmsISBN: 9783658140748Subject(s): Computer Science -- Algorithms | Computer Science -- Data AnalysisDDC classification: 006.312 R94, 2
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Dr. S. R. Ranganathan Library General Stacks | 006.312 R94, 2:11 (Browse shelf(Opens below)) | 12 | Available | 2070 | ||
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Dr. S. R. Ranganathan Library General Stacks | 006.312 R94, 2:12 (Browse shelf(Opens below)) | 13 | Available | 2071 | ||
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Dr. S. R. Ranganathan Library General Stacks | 006.312 R94, 2:13 (Browse shelf(Opens below)) | 14 | Available | 2072 | ||
| Textbook | Dr. S. R. Ranganathan Library Textbook | Text Book | 006.312 R94, 2:14 (Browse shelf(Opens below)) | 15 | Not For Loan | 2073 | |
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Dr. S. R. Ranganathan Library Reference | Reference | 006.312 R94, 2:15 (Browse shelf(Opens below)) | 16 | Not For Loan | 2074 |
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| 005.1335 H81.1, 9:6 Core java | 005.73 L26, 2:5 Data structures using C and C++ | 006.3 J33:3 Neuro-fuzzy and soft computing: A computational approach to learning and machine intelligence | 006.312 R94, 2:14 Data analytics: models and algorithms for intelligent data analysis | 006.312 T36, 2:4 Introduction to data mining | 150 B26, 5:14 Psychology :Indian subcontinent edition | 150 M67, 7:8 Introduction to psychology |
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.