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

✍ Scribed by Wookey Lee, Carson K. Leung

Publisher: Springer Singapore
Year: 2019
Tongue: English
Leaves: 219
Series: Advances in Intelligent Systems and Computing 770
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xvi
3D Volume Visualization System Based on GPUs for Medical Big Data (Joseph Yoon, Oh-Soek Kown, Jae-Gyun Cheong, Keon-Kuk Park, Young-Bong Kim)....Pages 1-7
A Fire Flame Simulation Scheme with Massively Parallel Processing (Byeonguk Im, Nakhoon Baek)....Pages 9-15
A Framework for Calculating Damages of Personal Information Leakage Accidents (Dong-Hee Lee, Tae-Sung Kim)....Pages 17-22
A Hierarchical Structure for Representing 3D Respiration Organ Models (Eath Manith, Chan Park, Kwan-Hee Yoo)....Pages 23-36
An Effective Method for Detecting Outlying Regions in a 2-Dimensional Array (Ki Yong Lee, Young-Kyoon Suh)....Pages 37-41
An Effective Recall-Oriented Information Retrieval System Evaluation (Justin JongSu Song, Jiyoung Lim, Chris Soo-Hyun Eom, Wookey Lee)....Pages 43-49
Chentry: Automated Evaluation of Students’ Learning Progress for Entry Education Software (Jeong-Hun Kim, Jong-Hyeok Choi, Uygun Shadikhodjaev, Aziz Nasridinov, Ki-Sang Song)....Pages 51-60
Constrained Big Data Mining in an Edge Computing Environment (Carson K. Leung, Deyu Deng, Calvin S. H. Hoi, Wookey Lee)....Pages 61-68
Constrained Frequent Pattern Mining from Big Data Via Crowdsourcing (Calvin S. H. Hoi, Daniyal Khowaja, Carson K. Leung)....Pages 69-79
Data-Driven Prediction of Ship Destinations in the Harbor Area Using Deep Learning (Kwang Il Kim, Keon Myung Lee)....Pages 81-90
Design and Implementation of a Sunshine Duration Calculation System with Massively Parallel Processing (Woosuk Shin, Nakhoon Baek)....Pages 91-97
Developing 3D Annotation Features for 3D Digital Textbooks (Jin-Uk Jeong, Gae-A Ryu, Mihye Kim, Kwan-Hee Yoo)....Pages 99-119
Efficient Mining of Time Interval-Based Association Rules (Ki Yong Lee, Young-Kyoon Suh)....Pages 121-125
Investigating the Role of Musical Genre in Human Perception of Music Stretching Resistance (Jun Chen, Chaokun Wang)....Pages 127-138
Keyword-Based Metadata Modeling for Experimental Omics Data Dissemination (Kyoung Soon Hwang, Keon Myung Lee)....Pages 139-150
Nonlinear Time-series Mining of Social Influence (Thinh Minh Do, Yasuko Matsubara, Yasushi Sakurai)....Pages 151-174
PEGASEF: A Provenance-Based Big Data Service Framework for Efficient Simulation Execution on Shared Computing Clusters (Young-Kyoon Suh, Ki Yong Lee, Nakhoon Baek)....Pages 175-182
Preference-Aware Music Recommendation Using Song Lyrics (Sein Jang, Battulga Lkhagvadorj, Aziz Nasridinov)....Pages 183-195
Real-Time Smart Safe-Return-Home Service Based on Big Data Analytics (Gae-A Ryu, Jae-Won Lee, Ji-Sung Jeong, Mihye Kim, Kwan-Hee Yoo)....Pages 197-209
Back Matter ....Pages 211-214

✦ Subjects

Engineering; Computational Intelligence; Big Data; Communications Engineering, Networks; Multimedia Information Systems; Social Media

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