LEADER 04397nam 22007695 450 001 9910427697403321 005 20250315005306.0 010 $a9783030631192 010 $a3030631192 024 7 $a10.1007/978-3-030-63119-2 035 $a(CKB)4100000011585941 035 $a(DE-He213)978-3-030-63119-2 035 $a(MiAaPQ)EBC6403546 035 $a(PPN)252504178 035 $a(EXLCZ)994100000011585941 100 $a20201120d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Computational Collective Intelligence $e12th International Conference, ICCCI 2020, Da Nang, Vietnam, November 30 ? December 3, 2020, Proceedings /$fedited by Marcin Hernes, Krystian Wojtkiewicz, Edward Szczerbicki 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XXIX, 823 p. 348 illus., 240 illus. in color.) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1287 311 08$a9783030631185 311 08$a3030631184 320 $aIncludes bibliographical references and index. 327 $aData Mining and Machine Learning -- Deep Learning and Applications for Industry 4.0 -- Recommender Systems -- Computer Vision Techniques -- Decision Support and Control Systems -- Intelligent Management Information Systems -- Innovations in Intelligent Systems -- Intelligent Modeling and Simulation Approaches for Games and Real World Systems -- Experience Enhanced Intelligence to IoT -- Data Driven IoT for Smart Society -- Applications of Collective Intelligence -- Natural Language Processing -- Low Resource Languages Processing -- Computational Collective Intelligence and Natural Language Processing. 330 $aThis book constitutes refereed proceedings of the 12th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2020, held in Da Nang, Vietnam, in November ? December 2020. Due to the the COVID-19 pandemic the conference was held online. The 68 papers were thoroughly reviewed and selected from 314 submissions. The papers are organized according to the following topical sections: data mining and machine learning; deep learning and applications for industry 4.0; recommender systems; computer vision techniques; decision support and control systems; intelligent management information systems; innovations in intelligent systems; intelligent modeling and simulation approaches for games and real world systems; experience enhanced intelligence to IoT; data driven IoT for smart society; applications of collective intelligence; natural language processing; low resource languages processing; computational collective intelligence and natural language processing. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1287 606 $aArtificial intelligence 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aApplication software 606 $aComputer engineering 606 $aComputer networks 606 $aData mining 606 $aArtificial Intelligence 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aComputer and Information Systems Applications 606 $aComputer Engineering and Networks 606 $aData Mining and Knowledge Discovery 615 0$aArtificial intelligence. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 0$aApplication software. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aData mining. 615 14$aArtificial Intelligence. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Engineering and Networks. 615 24$aData Mining and Knowledge Discovery. 676 $a006.33 702 $aHernes$b Marcin 702 $aWojtkiewicz$b Krystian 702 $aSzczerbicki$b Edward 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910427697403321 996 $aAdvances in Computational Collective Intelligence$92158878 997 $aUNINA