Big and Complex Data Analysis Methodologies and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ahmed, S. Ejaz (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Contributions to Statistics,
• Θέματα: Statistics.; Big data.; Data mining.; Biostatistics.; Statistical Theory and Methods.; Statistics and Computing/Statistics Programs.; Big Data/Analytics.; Data Mining and Knowledge Discovery.

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essent...