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Modern data mining algorithms in C++ and CUDA C : recent developments in feature extraction and selection algorithms for data science /
Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables. --
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress L.P.,
2020.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Masters, Timothy. | |
| 245 | 1 | 0 | |a Modern data mining algorithms in C++ and CUDA C : |b recent developments in feature extraction and selection algorithms for data science / |c Timothy Masters. |
| 260 | |a Berkeley, CA : |b Apress L.P., |c 2020. | ||
| 300 | |a 1 online resource (233 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 347 | |b PDF | ||
| 500 | |a Includes index. | ||
| 588 | 0 | |a Print version record. | |
| 520 | |a Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables. -- |c Edited summary from book. | ||
| 505 | 0 | |a 1. Introduction -- 2. Forward Selection Component Analysis -- 3. Local Feature Selection -- 4. Memory in Time Series Features -- 5. Stepwise Selection on Steroids -- 6. Nominal-to-Ordinal Conversion. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a C++ (Computer program language) | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 6 | |a C++ (Langage de programmation) | |
| 650 | 7 | |a Computing & information technology. |2 bicssc | |
| 650 | 7 | |a Probability & statistics. |2 bicssc | |
| 650 | 7 | |a Programming & scripting languages: general. |2 bicssc | |
| 650 | 7 | |a Data mining. |2 bicssc | |
| 650 | 7 | |a Computers |x General. |2 bisacsh | |
| 650 | 7 | |a Mathematics |x Probability & Statistics |x General. |2 bisacsh | |
| 650 | 7 | |a Computers |x Programming Languages |x General. |2 bisacsh | |
| 650 | 7 | |a Computers |x Database Management |x Data Mining. |2 bisacsh | |
| 650 | 7 | |a C++ (Computer program language) |2 fast | |
| 650 | 7 | |a Data mining |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Masters, Timothy. |t Modern Data Mining Algorithms in C++ and CUDA C : Recent Developments in Feature Extraction and Selection Algorithms for Data Science. |d Berkeley, CA : Apress L.P., ©2020 |z 9781484259870 |
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