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Hybrid Artificial Intelligent Systems -

Hybrid Artificial Intelligent Systems

11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings
Buch | Softcover
XIX, 765 Seiten
2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-32033-5 (ISBN)
CHF 74,85 inkl. MwSt

Thisvolume constitutes the refereed proceedings of the 11th International Conferenceon Hybrid Artificial Intelligent Systems, HAIS 2016, held in Seville, Spain, inApril 2016.

The 63full papers published in this volume were carefully reviewed and selected from150 submissions. They are organized in topical sections on data mining andknowledge discovery; time series; bio-inspired models and evolutionary computation;learning algorithms; video and image; classification and cluster analysis; applications;bioinformatics; and hybrid intelligent systems for data mining and applications.

Data Mining andKnowledge Discovery.- Time series.- Bio-inspired Models and EvolutionaryComputation.- Learning Algorithms.- Video and Image.- Classification andCluster Analysis.- Applications.- Bioinformatics.- Hybrid Intelligent Systemsfor Data Mining and Applications.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Artificial Intelligence
Lecture Notes in Computer Science
Zusatzinfo XIX, 765 p. 211 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Applications • artificial intelligence (incl. robotics) • Case base reasoning • Chance Discovery • Cognitive Systems • Complex Systems • Computer Science • computer vision • Data Mining • Data mining and decision support systems • Decision Support Systems • Distributed Systems • Ensemble Techniques • evolutionary computation • Fusion of soft computing and hard computing • Hard Computing • human interface • Hybrid Intelligent Systems • intelligent agent-based systems • Internet modelling • Reactive Systems • Soft Computing • Visualization Techniques • web application security
ISBN-10 3-319-32033-5 / 3319320335
ISBN-13 978-3-319-32033-5 / 9783319320335
Zustand Neuware
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