Data science and big data analytics : discovering, analyzing, visualizing and presenting data /

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This is a book about harnessing the power of data for new insights and covers the breadth of activities and methods and tools that data scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learn...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: EMC Education Services
Otros Autores: Dietrich, David (Computer scientist) (Contribuidor), Heller, Robert, 1932-2012 (Contribuidor), Yang, Beibei (Contribuidor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Indianpolis, IN : John Wiley & Sons, ©2015.
Temas:
Data mining.
Big data.
Quantitative research.
Data Mining
Exploration de données (Informatique)
Données volumineuses.
Recherche quantitative.
COMPUTERS > General.
COMPUTERS > Database Management > Data Mining.
Fouille de données.
Traitement électronique des données.
Programmation informatique.
Big Data
Datenanalyse
Ressources Internet.
e-books.
Livres numériques.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 1. Introduction to big data analytics
  • 2. Data analytics lifecycle
  • 3. Review of basic data analytic methods using R
  • 4. Advanced analytical theory and methods: clustering
  • 5. Advanced analytical theory and methods: association rules
  • 6. Advanced analytical theory and methods: regression
  • 7. Advanced analytical theory and methods: classification
  • 8. Advanced analytical theory and methods: time series analysis
  • 9. Advanced analytical theory and methods: text analysis
  • 10. Advanced analytics, technology and tools: MapReduce and Hadoop
  • 11. Advanced analytics, technology and tools: in-database analytics
  • 12. The endgame, or putting it all together.

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