Big Data Applications and Services 2017 The 4th International Conference on Big Data Applications and Services /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lee, Wookey (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Leung, Carson K. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Advances in Intelligent Systems and Computing, 770
• Θέματα: Computational intelligence.; Big data.; Electrical engineering.; Multimedia information systems.; Social media.; Computational Intelligence.; Big Data.; Communications Engineering, Networks.; Multimedia Information Systems.; Social Media.

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 medi...

Πίνακας περιεχομένων:

• 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.