Big Data Technologies and Applications 8th International Conference, BDTA 2017, Gwangju, South Korea, November 23-24, 2017, Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Jung, Jason J. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kim, Pankoo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Choi, Kwang Nam (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 248
• Θέματα: Data mining.; Software engineering.; Optical data processing.; Computer organization.; Data Mining and Knowledge Discovery.; Software Engineering/Programming and Operating Systems.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Computer Systems Organization and Communication Networks.

 This book constitutes the refereed post-conference proceedings of the 8th International Conference on Big Data Technologies and Applications, BDTA 2017, held in Gwangju, South Korea, in November 2017. The 15 revised full papers were carefully reviewed and selected from 25 submissions and handle theoretical foundations and practical applications which premise the new generation of data analytics and engineering. The contributions deal with following topics: privacy and security, image processing, context awareness, s/w engineering and e-commerce, social media and health care. 

 Study on the Transaction Linkage Technique Combining the Designated Terminal -- Development of ADDA (Additional Data) -- Algorithm for IoT security and privacy -- Fine-grained Data Traffic Management System based on VPN Technology -- Segmentation of Hanacaraka Characters using Double Projection Profile and Hough Transform -- Face Expression Extraction using Eigenfaces, Fisherfaces and Local Binary Pattern Histogram towards Predictive Analysis of Students Emotion in Programming -- Improving Indoor Positioning Performance in a Emergency Deployment System -- Network Engineering: Towards Data-driven Framework for Network Configuration -- Detecting Human Emotion via Speech Recognition by using Ensemble Classification Model -- Pattern Analysis of Natural Disasters in the Philippines Session 4: S/W Engineering and E-Commerce -- Improving software automation testing using Jenkins, and machine learning under big data -- Mining IT Job-Order Services: Basis for Policy Formulation & IT Resource Allocation -- eCommerce Sales Attrition: A Business Intelligence Visualization -- Keyboard and Mouse: Tools in Identifying Emotions during Computer Activities -- Waiting Time Screening in Healthcare -- Analysis and visualization of university twitter feeds sentiment.