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Hybrid Artificial Intelligent Systems

7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012, Proceedings, Part II

Emilio S. Corchado Rodriguez, Vaclav Snasel, Ajith Abraham, Michal Wozniak, Manuel Grana, Sung-Bae Cho (Herausgeber)

Buch | Softcover

XXXII, 606 Seiten

2012 | 2012
Springer Berlin (Verlag)
978-3-642-28930-9 (ISBN)

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The two LNAI volumes 7208 and 7209 constitute the proceedings of the 7th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2012, held in Salamanca, Spain, in March 2012.The 118 papers published in these proceedings were carefully reviewed and selected from 293 submissions. They are organized in topical sessions on agents and multi agents systems, HAIS applications, cluster analysis, data mining and knowledge discovery, evolutionary computation, learning algorithms, systems, man, and cybernetics by HAIS workshop, methods of classifier fusion, HAIS for computer security (HAISFCS), data mining: data preparation and analysis, hybrid artificial intelligence systems in management of production systems, hybrid artificial intelligent systems for ordinal regression, hybrid metaheuristics for combinatorial optimization and modelling complex systems, hybrid computational intelligence and lattice computing for image and signal processing and nonstationary models of pattern recognition and classifier combinations.

Erscheint lt. Verlag	21.3.2012
Reihe/Serie	Lecture Notes in Artificial Intelligence
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	XXXII, 606 p.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	885 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Software Entwicklung ► User Interfaces (HCI)
	Informatik ► Theorie / Studium ► Algorithmen
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Algorithm analysis and problem complexity • Computer Security • Data Mining • hybrid artificial intelligence • Learning Algorithms • pattern recognition
ISBN-10	3-642-28930-4 / 3642289304
ISBN-13	978-3-642-28930-9 / 9783642289309
Zustand	Neuware