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Hybrid Artificial Intelligent Systems [electronic resource] : 14th International Conference, HAIS 2019, León, Spain, September 4–6, 2019, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Artificial Intelligence ; 11734Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019Description: XVII, 773 p. 293 illus., 172 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030298593
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
Data mining, knowledge discovery and big data -- Bio-inspired models and evolutionary computation -- Learning algorithms -- Visual analysis and advanced data processing techniques -- Data mining applications -- Hybrid intelligent applications.
In: Springer Nature eBookSummary: This volume constitutes the refereed proceedings of the 14th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2019, held in León, Spain, in September 2019. The 64 full papers published in this volume were carefully reviewed and selected from 134 submissions. They are organized in the following topical sections: data mining, knowledge discovery and big data; bio-inspired models and evolutionary computation; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent applications.
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Data mining, knowledge discovery and big data -- Bio-inspired models and evolutionary computation -- Learning algorithms -- Visual analysis and advanced data processing techniques -- Data mining applications -- Hybrid intelligent applications.

This volume constitutes the refereed proceedings of the 14th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2019, held in León, Spain, in September 2019. The 64 full papers published in this volume were carefully reviewed and selected from 134 submissions. They are organized in the following topical sections: data mining, knowledge discovery and big data; bio-inspired models and evolutionary computation; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent applications.

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