Knowledge Processing with Interval and Soft Computing

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kreinovich, Vladik (Επιμελητής έκδοσης), Korvin, Andre (Επιμελητής έκδοσης), Baker Kearfott, R. (Επιμελητής έκδοσης), Hu, Chenyi (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London, 2008.
• Σειρά: Advanced Information and Knowledge Processing
• Θέματα: Computer science.; Computer science > Mathematics.; Data mining.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Data Mining and Knowledge Discovery.; Information Systems Applications (incl. Internet).; Applications of Mathematics.; Discrete Mathematics in Computer Science.; Artificial Intelligence (incl. Robotics).

Massive datasets, made available today by modern technologies, present a significant challenge to scientists who need to effectively and efficiently extract relevant knowledge and information. Due to their ability to model uncertainty, interval and soft computing techniques have been found to be eff...