| 000 | 02873nam a22004935i 4500 | ||
|---|---|---|---|
| 001 | 978-3-658-29779-4 | ||
| 003 | DE-He213 | ||
| 005 | 20240423125304.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 200513s2020 gw | s |||| 0|eng d | ||
| 020 |
_a9783658297794 _9978-3-658-29779-4 |
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| 024 | 7 |
_a10.1007/978-3-658-29779-4 _2doi |
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| 050 | 4 | _aQA76.9.D343 | |
| 072 | 7 |
_aUNF _2bicssc |
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| 072 | 7 |
_aUYQE _2bicssc |
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| 072 | 7 |
_aCOM021030 _2bisacsh |
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| 072 | 7 |
_aUNF _2thema |
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| 072 | 7 |
_aUYQE _2thema |
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| 082 | 0 | 4 |
_a006.312 _223 |
| 100 | 1 |
_aRunkler, Thomas A. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aData Analytics _h[electronic resource] : _bModels and Algorithms for Intelligent Data Analysis / _cby Thomas A. Runkler. |
| 250 | _a3rd ed. 2020. | ||
| 264 | 1 |
_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Vieweg, _c2020. |
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| 300 |
_aXII, 161 p. 72 illus. Textbook for German language market. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _aIntroduction -- Data and Relations -- Data Preprocessing -- Data Visualization -- Correlation -- Regression -- Forecasting -- Classification -- Clustering. | |
| 520 | _aThis 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 atSiemens Corporate Technology and Professor for Computer Science at the Technical University of Munich. | ||
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aData structures (Computer science). | |
| 650 | 0 | _aInformation theory. | |
| 650 | 1 | 4 | _aData Mining and Knowledge Discovery. |
| 650 | 2 | 4 | _aData Structures and Information Theory. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783658297787 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783658297800 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-658-29779-4 |
| 912 | _aZDB-2-STI | ||
| 942 | _cSPRINGER | ||
| 999 |
_c176317 _d176317 |
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