Modern Data Mining Algorithms in C++ and CUDA C : Recent Developments in Feature Extraction and Selection Algorithms for Data Science

Modern Data Mining Algorithms in C++ and CUDA C Recent Developments in Feature Extraction and Selection Algorithms for Data Science

As a serious data miner you will often be faced with thousands of candidate features for your prediction or classification application, with most of the features being of little or no value. You’ll know that many of these features may be useful only in combination with certain other features while b...

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Detalles Bibliográficos
Autor principal: Masters, Timothy. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2020.
Edición:1st ed. 2020.
Materias:
Data mining.
Computer software.
Statistics .
Programming languages (Electronic computers).
Data Mining and Knowledge Discovery.
Professional Computing.
Statistics, general.
Programming Languages, Compilers, Interpreters.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630894206719
Tabla de Contenidos:
  • 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.

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