Towards Advanced Data Analysis by Combining Soft Computing and Statistics

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Borgelt, Christian (Επιμελητής έκδοσης), Gil, María Ángeles (Επιμελητής έκδοσης), Sousa, João M.C (Επιμελητής έκδοσης), Verleysen, Michel (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Studies in Fuzziness and Soft Computing, 285
• Θέματα: Engineering.; Mathematical statistics.; Data mining.; Computer simulation.; Computational intelligence.; Computational Intelligence.; Probability and Statistics in Computer Science.; Data Mining and Knowledge Discovery.; Simulation and Modeling.

Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis. Soft computing focuses on obtaining working solutions quickly, accepting approximations and unconventional approaches. Its strength lies in its flexibility t...