Creativity in Intelligent Technologies and Data Science (eBook, PDF)

First Conference, CIT&DS 2015, Volgograd, Russia, September 15-17, 2015. Proceedings
Redaktion: Kravets, Alla; Shabalina, Olga; Kultsova, Marina; Shcherbakov, Maxim

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the First Conference on Creativity in Intelligent Technologies and Data Science, CIT&DS 2015, held in Volgograd, Russia, in September 2015. The 66 revised full papers and two short papers presented were carefully reviewed and selected from 208 submissions. The papers are organized in topical sections on computational creativity for science and design; knowledge discovery in patent and open sources for creative tasks; software computer-aided design and agent-based systems; conceptual, cognitive and qualitative modeling with application in intelligent decision making; design creativity in CAD/CAM/CAE/PDM; intelligent decision support for continual improvement process; data science in energy management, transportation and urban development; data science in social networks analysis; natural language and image processing and analysis; game-based learning technologies in engineering education and educational games design; personalized learning in Web-based intelligent educational systems; e-inclusion: development of smart mobile applications for people with disabilities.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 861
• Erscheinungstermin: 11. September 2015
• Englisch
• ISBN-13: 9783319237664
• Artikelnr.: 43837821

Inhaltsangabe

Computational creativity for science and design.- Knowledge discovery in patent and open sources for creative Tasks.- Software computer-aided design and agent-based Systems.- Conceptual, cognitive and qualitative modeling with application in intelligent decision making.- Design creativity in CAD/CAM/CAE/PDM.- Intelligent decision support for continual improvement process.- Data science in energy management, transportation and urban development.- Data science in social networks Analysis.- Natural language and image processing and Analysis.- Game-based learning technologies in engineering education and educational games design.- Personalized learning in Web-based intelligent educational Systems.- E-inclusion: development of smart mobile applications for people with disabilities.