Data Mining Algorithms in C++ : Data Patterns and Algorithms for Modern Applications

Data Mining Algorithms in C++ Data Patterns and Algorithms for Modern Applications

Find the various relationships among variables that can be present in big data as well as other data sets. This book also covers information entropy, permutation tests, combinatorics, predictor selections, and eigenvalues to give you a well-rounded view of data mining and algorithms in C++. Furtherm...

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Detalles Bibliográficos
Autor principal: Masters, Timothy. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2018.
Edición:1st ed. 2018.
Materias:
Programming languages (Electronic computers).
Big data.
Data mining.
Computer programming.
Algorithms.
Programming Languages, Compilers, Interpreters.
Big Data.
Data Mining and Knowledge Discovery.
Programming Techniques.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630403206719
Tabla de Contenidos:
  • 1. Information and Entropy
  • 2. Screening for Relationships
  • 3. Displaying Relationship Anomalies
  • 4. Fun With Eigenvectors
  • 5. Using the DATAMINE Program.

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