Proceedings of the 7th International Conference on Emerging Databases

1. Front Matter

   Pages i-x

   PDF

2. Optimizing MongoDB Using Multi-streamed SSD

   • Trong-Dat Nguyen, Sang-Won Lee

   Pages 1-13

3. Quadrant-Based MBR-Tree Indexing Technique for Range Query Over HBase

   • Bumjoon Jo, Sungwon Jung

   Pages 14-24

4. Migration from RDBMS to Column-Oriented NoSQL: Lessons Learned and Open Problems

   • Ho-Jun Kim, Eun-Jeong Ko, Young-Ho Jeon, Ki-Hoon Lee

   Pages 25-33

5. Personalized Social Search Based on User Context Analysis

   • SoYeop Yoo, OkRan Jeong

   Pages 34-42

6. Dynamic Partitioning of Large Scale RDF Graph in Dynamic Environments

   • Kyoungsoo Bok, Cheonjung Kim, Jaeyun Jeong, Jongtae Lim, Jaesoo Yoo

   Pages 43-49

7. Efficient Combined Algorithm for Multiplication and Squaring for Fast Exponentiation over Finite Fields \(GF(2^{m})\)

   • Kee-Won Kim, Hyun-Ho Lee, Seung-Hoon Kim

   Pages 50-57

8. Efficient Processing of Alternating Least Squares on a Single Machine

   • Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim

   Pages 58-67

9. Parallel Compression of Weighted Graphs

   • Elena En, Aftab Alam, Kifayat Ullah Khan, Young-Koo Lee

   Pages 68-77

10. An Efficient Subgraph Compression-Based Technique for Reducing the I/O Cost of Join-Based Graph Mining Algorithms

    • Mostofa Kamal Rasel, Young-Koo Lee

    Pages 78-88

11. Smoothing of Trajectory Data Recorded in Harsh Environments and Detection of Outlying Trajectories

    • Iq Reviessay Pulshashi, Hyerim Bae, Hyunsuk Choi, Seunghwan Mun

    Pages 89-98

12. SSDMiner: A Scalable and Fast Disk-Based Frequent Pattern Miner

    • Kang-Wook Chon, Min-Soo Kim

    Pages 99-110

13. A Study on Adjustable Dissimilarity Measure for Efficient Piano Learning

    • So-Hyun Park, Sun-Young Ihm, Young-Ho Park

    Pages 111-118

14. A Mapping Model to Match Context Sensing Data to Related Sentences

    • Lucie Surridge, Young-ho Park

    Pages 119-127

15. Understanding User’s Interests in NoSQL Databases in Stack Overflow

    • Minchul Lee, Sieun Jeon, Min Song

    Pages 128-137

16. MultiPath MultiGet: An Optimized Multiget Method Leveraging SSD Internal Parallelism

    • Kyungtae Song, Jaehyung Kim, Doogie Lee, Sanghyun Park

    Pages 138-150

17. An Intuitive and Efficient Web Console for AsterixDB

    • SoYeop Yoo, JeIn Song, OkRan Jeong

    Pages 151-160

18. Who Is Answering to Whom? Finding “Reply-To” Relations in Group Chats with Long Short-Term Memory Networks

    • Gaoyang Guo, Chaokun Wang, Jun Chen, Pengcheng Ge

    Pages 161-171

19. Search & Update Optimization of a B\(^+\) Tree in a Hardware Aided Semantic Web Database System

    • Dennis Heinrich, Stefan Werner, Christopher Blochwitz, Thilo Pionteck, Sven Groppe

    Pages 172-182

20. Multiple Domain-Based Spatial Keyword Query Processing Method Using Collaboration of Multiple IR-Trees

    • Junhong Ahn, Bumjoon Jo, Sungwon Jung

    Pages 183-192

This proceedings volume presents selected papers from the 7th International Conference on Emerging Databases: Technologies, Applications, and Theory (EDB 2017), which was held in Busan, Korea from 7 to 9 August, 2017. This conference series was launched by the Korean Institute of Information Scientists and Engineers (KIISE) Database Society of Korea as an annual forum for exploring novel technologies, applications, and research advances in the field of emerging databases. This forum has evolved into the premier international venue for researchers and practitioners to discuss current research issues, challenges, new technologies, and solutions.

• Emerging Database technologies
• EDB 2017
• International Conference on Emerging Databases
• Smart computing
• Data mining/knowledge discovery
• Social media and big data
• Data warehousing
• Stream data management
• Information retrieval and text mining
• Databases for bioinformatics
• Query processing and optimization
• Embedded and mobile databases
• Privacy and secure databases
• NoSQL and MapReduce

• Department of Industrial Engineering, Inha University, Incheon, Korea (Republic of)

  Wookey Lee

• Department of Information and Communication Engineering, Inha University, Incheon, Korea (Republic of)

  Wonik Choi

• Department of Computer Science and Engineering, Sogang University, Seoul, Korea (Republic of)

  Sungwon Jung

• Department of Library and Information Science, Yonsei University, Seoul, Korea (Republic of)

  Min Song

Wookey Lee received the B.S., M.S., and Ph.D. from Seoul National University, Korea, and the M.S.E. degree from Carnegie Mellon University, USA. He currently is a Professor in Inha University, Korea. He has served as PC member and chair for many conferences such as CIKM, IEEE DEST, DASFAA, ICDE, VLDB, etc, and also as executive committee of IEEE TCDE. He won the best paper awards in IEEE TCSC , ACM BigDas, KORMS and KIISE. He is the EIC of Journal of Information Technology and Architecture and the Big Data Service Journal, and an associate editor for WWW Journal. His research interests include Graph DB, Patent Information, Privacy, and Data Warehousing

 

Wonik Choi received his B.S., M.S., and Ph.D.in computer engineering from Seoul National University, Korea. He currently is a Professor in the department of communication and information at Inha University, Korea. He has served as PC member and chair for many conferences such as IEEE Bigd

ata, IEEE Cloud, IEEE IRI, DASFAA, EDB etc. He has published a number of peer-review journal papers including Data and Knowledge Engineering, Super Computing, IEICE TOC, etc. His research interests include Spatio-temporal databases, Mobile computing, GIS/LBS, and Big Data Analytics.

 

Sungwon Jung received the BS degree in computer science from Sogang Univeristy, Seoul, Korea in 1988.  He received the MS and PhD degrees in computer science from Michigan State University, East Lansing, Michigan, in 1990 and 1995, respectively. He worked as a senior research engineer at National Information Society Agency from 1997 till 2000.  He joined the department of computer science and engineering  at Sogang Univ. as an assistant professor in 2000. Currently, he is a professor in the Computer Science Department at Sogang University. His research interests includes spatial databases, data mini

ng, and mobile databases.He has published a number of peer-review journal papers including IEEE TKDE, Data and Knowledge Engineering, Journal of Systems and Software. He has worked as a referee of many journal papers of IEEE and Elsevier publishers.  

 

Min Song is the Underwood Distinguished Professor in the Department of Library and Information Science and the director of Text and Social Media Mining Lab at Yonsei University. He has published more than 200 international conference and journal papers. Min has research interests in Biomedical Text Mining, Social Media Data Mining, and Big Data Analytics. Prior to Yonsei, Min was the tenured Associate Professor of Information Systems Department at New Jersey Institute of technology. He received his PhD in Information Systems from Drexel University, an MS from Indiana University and a BA from Yonsei University in Korea. He is an editorial board member of Scientometrics and Journal

of Informetrics, and he also serves as an associate editor of Frontiers in Research Metrics and Analytics. 

Policies and ethics