Modern Data Mining Algorithms in C++ and CUDA C

Recent Developments in Feature Extraction and Selection Algorithms for Data Science

Häftad, Engelska, 2020

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2020-06-06
Mått:178 x 254 x 14 mm
Vikt:460 g
Format:Häftad
Språk:Engelska
Antal sidor:228
Förlag:APress
ISBN:9781484259870

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Mer om författaren

Timothy Masters has a PhD in statistics and is an experienced programmer. His dissertation was in image analysis. His career moved in the direction of signal processing, and for the last 25 years he's been involved in the development of automated trading systems in various financial markets.

Recensioner i media

“This is an excellent book directed toward those who are already working in data mining.” (Anthony J. Duben, Computing Reviews, May 5, 2021)

Innehållsförteckning

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.