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. --

Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Masters, Timothy
Format: Électronique eBook
Langue:Inglés
Publié: Berkeley, CA : Apress L.P., 2020.
Sujets:
Data mining.
C++ (Computer program language)
Data Mining
Exploration de données (Informatique)
C++ (Langage de programmation)
Computing & information technology.
Probability & statistics.
Programming & scripting languages: general.
Computers > General.
Mathematics > Probability & Statistics > General.
Computers > Programming Languages > General.
Computers > Database Management > Data Mining.
Data mining
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Table des matières:
  • 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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