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ORCID5th Infoscale 2014: Seoul, South Korea
- Jason J. Jung, Costin Badica, Attila Kiss:
Scalable Information Systems - 5th International Conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 139, Springer 2015, ISBN 978-3-319-16867-8
Scalable Data Analytics
- Pavel Zezula:
Scalable Similarity Search for Big Data - Challenges and Research Objectives. 3-12 - Namhee Lee, Jason J. Jung
:
Content-Based Analytics of Diffusion on Social Big Data: A Case Study on Korean Telecommunication Companies. 13-27 - David Novak:
Multi-modal Similarity Retrieval with a Shared Distributed Data Store. 28-37 - Mohiuddin Ahmed, Abdun Naser Mahmood, Michael J. Maher:
An Efficient Approach for Complex Data Summarization Using Multiview Clustering. 38-47
Big Data Applications
- Mohiuddin Ahmed, Abdun Naser Mahmood, Michael J. Maher:
A Novel Approach for Network Traffic Summarization. 51-60 - Mohiuddin Ahmed, Abdun Naser Mahmood, Michael J. Maher:
Heart Disease Diagnosis Using Co-clustering. 61-70 - Pheeha Machaka, Antoine B. Bagula:
An Investigation of Scalable Anomaly Detection Techniques for a Large Network of Wi-Fi Hotspots. 71-79 - Meng-Shiuan Pan, Yi-Hsun Lee:
Link Scheduling for Data Collection in Multichannel Wireless Sensor Networks. 80-90 - Eunji Lee, Byeong-Kyu Ko, Chang Choi, Pankoo Kim:
A Design of Sensor Data Ontology for a Large Scale Crop Growth Environment System. 91-96 - Choon Seo Park, Jin-Hwan Jeong, Myungcheol Lee, Yong-Ju Lee, Miyoung Lee, Sung Jin Hur:
Real-Time Data Flow Language Processing System for Handling Streams of Data. 97-106
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