Hybrid artificial intelligent systems : 7th International Conference, HAIS 2012, Salamanca, Spain, March 28-30th, 2012. Proceedings. Part II /

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Bibliographic Details
Meeting name:HAIS (Conference) (7th : 2012 : Salamanca, Spain)
Imprint:Berlin ; New York : Springer, ©2012.
Description:1 online resource (xxxii, 606 pages) : illustrations.
Language:English
Series:Lecture notes in artificial intelligence ; 7209
Lecture notes in computer science, 0302-9743
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer science. Lecture notes in artificial intelligence ; 7209.
Lecture notes in computer science.
LNCS sublibrary. SL 7, Artificial intelligence.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11076754
Hidden Bibliographic Details
Varying Form of Title:HAIS 2012
Other authors / contributors:Corchado, Emilio.
ISBN:9783642289316
3642289312
9783642289309
Notes:Includes bibliographical references and author index.
Summary:Annotation 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.
Other form:Printed edition: 9783642289309
Standard no.:10.1007/978-3-642-28931-6