Chapter 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.
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
This 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.
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
Springer Nature
شماره انبار
com.springer.onix.9789811306952
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Big Data Applications and Services 2017.
شماره استاندارد بين المللي کتاب و موسيقي
9789811306945
عنوان اصلی به زبان دیگر
عنوان اصلي به زبان ديگر
BigDAS 2017
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Big data, Congresses.
موضوع مستند نشده
Big data.
موضوع مستند نشده
COMPUTERS-- Databases-- Data Warehousing.
مقوله موضوعی
موضوع مستند نشده
COM-- 021040
موضوع مستند نشده
UYQ
موضوع مستند نشده
UYQ
رده بندی ديویی
شماره
005
.
7
ويراست
23
رده بندی کنگره
شماره رده
QA76
.
9
.
B45
نام شخص - (مسئولیت معنوی برابر )
مستند نام اشخاص تاييد نشده
Lee, Wookey
مستند نام اشخاص تاييد نشده
Leung, Carson K.
نام تنالگان به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام تنالگان تاييد نشده
International Conference on Big Data Applications and Services(4th :2017 :, Tashkent, Uzbekistan)