Hybrid Artificial Intelligent Systems [electronic resource] : 12th International Conference, HAIS 2017, La Rioja, Spain, June 21-23, 2017, Proceedings / edited by Francisco Javier Martínez de Pisón, Rubén Urraca, Héctor Quintián, Emilio Corchado.
Contributor(s): Martínez de Pisón, Francisco Javier [editor.]
| Urraca, Rubén [editor.] | Quintián, Héctor [editor.] | Corchado, Emilio [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Artificial Intelligence: 10334Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XVIII, 725 p. 248 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319596501.Subject(s): Artificial intelligence | Algorithms | Compilers (Computer programs) | Computer programming | Application software | Artificial Intelligence | Algorithms | Compilers and Interpreters | Programming Techniques | Computer and Information Systems ApplicationsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
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Springer Nature eBookSummary: This volume constitutes the refereed proceedings of the 12th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2017, held in La Rioja, Spain, in June 2017. The 60 full papers published in this volume were carefully reviewed and selected from 130 submissions. They are organized in the following topical sections: data mining, knowledge discovery and big data; bioinspired models and evolutionary computing; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent applications.
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This volume constitutes the refereed proceedings of the 12th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2017, held in La Rioja, Spain, in June 2017. The 60 full papers published in this volume were carefully reviewed and selected from 130 submissions. They are organized in the following topical sections: data mining, knowledge discovery and big data; bioinspired models and evolutionary computing; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent applications.
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