Recent Trends in Applied Artificial Intelligence 26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2013, Amsterdam, The Netherlands, June 17-21, 2013. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ali, Moonis (Επιμελητής έκδοσης), Bosse, Tibor (Επιμελητής έκδοσης), Hindriks, Koen V. (Επιμελητής έκδοσης), Hoogendoorn, Mark (Επιμελητής έκδοσης), Jonker, Catholijn M. (Επιμελητής έκδοσης), Treur, Jan (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Lecture Notes in Computer Science, 7906
• Θέματα: Computer science.; Algorithms.; Data mining.; Artificial intelligence.; Computer graphics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Information Systems Applications (incl. Internet).; Algorithm Analysis and Problem Complexity.; Data Mining and Knowledge Discovery.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Computer Science, general.
• Φυσική περιγραφή: XX, 697 p. 279 illus. online resource.
• ISBN: 9783642385773
• ISSN: 0302-9743 ;

This volume constitutes the thoroughly refereed conference proceedings of the 26th International Conference on Industrial Engineering and Other Applications of Applied Intelligence Systems, IEA/AIE 2013, held in Amsterdam, The Netherlands, in June 2013. The total of 71 papers selected for the proceedings were carefully reviewed and selected from 185 submissions. The papers focus on the following topics: auctions and negotiation, cognitive modeling, crowd behavior modeling, distributed systems and networks, evolutionary algorithms, knowledge representation and reasoning, pattern recognition, planning, problem solving, robotics, text mining, advances in recommender systems, business process intelligence, decision support for safety-related systems, innovations in intelligent computation and applications, intelligent image and signal processing, and machine learning methods applied to manufacturing processes and production systems.