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020 _a9789811306952
024 7 _a10.1007/978-981-13-0695-2
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aQA76.9 .B45
_b2019 EB
245 0 0 _aBig Data Applications and Services 2017 :
_bThe 4th International Conference on Big Data Applications and Services
_cedited by Wookey Lee, Carson K. Leung
264 1 _aSingapore
_bSpringer Singapore :
_bImprint: Springer
_c2019
300 _a1 recurso en línea (XVI, 214 páginas)
_b92 ilustraciones, 13 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
_2rda
490 0 _aAdvances in Intelligent Systems and Computing
_x2194-5357
_v770
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aChapter 1. 3D volume visualization system based on GPUs for medical big data -- Chapter 2. A fire frame simulation scheme with massively parallel processing -- Chapter 3. A framework for calculating damages of personal information leakage accidents -- Chapter 4. A hierarchical structure for representing 3D respiration organ models -- Chapter 5. An effective method for detecting outlying regions in a 2-dimensional array -- Chapter 6. An effective recall-oriented information retrieval system evaluation -- Chapter 7. Chentry: Automated Evaluation of Students' Learning Progress for Entry Education Software -- Chapter 8. Constrained big data mining in an edge computing environment -- Chapter 9. Constrained frequent pattern mining from big data via crowdsourcing -- Chapter 10. Data-driven prediction of ship destinations in the harbor area using deep learning -- Chapter 11. Design and implementation of a sunshine duration calculation system with massively parallel processing -- Chapter 12. Developing 3D annotation features for 3D digital textbooks -- Chapter 13. Efficient mining of time interval-based association rules -- Chapter 14. Investigating the role of musical genre in human perception of music stretching resistance -- Chapter 15. Keyword-based metadata modeling for experimental omics data dissemination -- Chapter 16. Non-linear time-series mining of social influence -- Chapter 17. PEGASEF: A provenance-based big data service framework for efficient simulation execution on shared computing clusters -- Chapter 18. Preference-aware music recommendation using song lyrics -- Chapter 19. Real time smart safe-return-home service based on big data analytics -- Index.
520 3 _aThis proceedings volume contains selected papers from the Fourth International Conference on Big Data Applications and Services (BigDAS 2017), held in Tashkent, Uzbekistan on August 15-18, 2017. Big data has become a core technology providing innovative solutions in many fields including social media, healthcare and manufacturing. The Fourth International Conference on Big Data Applications and Services (BigDAS 2017) presented innovative results, encouraged academic and industrial interaction, and promoted collaborative research in the field of big data worldwide. The conference was organized by the Korea Big Data Services Society and National University of Uzbekistan.
988 _aPrimersemestre_2019_Robotics
650 7 _2embne
_aDatos masivos
_xCongresos y asambleas
650 7 _2embne
_aSistemas de gestión de bases de datos
_xCongresos y asambleas
650 7 _2embne
_aAlmacenes de datos
_xCongresos y asambleas
700 1 _aLee, Wookey.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLeung, Carson K.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9789811306945
776 0 8 _iPrinted edition:
_z9789811306969
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-13-0695-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _aSI
_cm
_dz
_feng
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_b10/2019
_eel
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