Scalable Information Systems: 5th International Conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, Revised Selected Papers 2015 ed.
Scalable Information Systems: 5th International Conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, Revised Selected Papers 2015 ed. [Pehme köide]
Formaat: Paperback / softback, 107 pages, kõrgus x laius: 235x155 mm, kaal: 1942 g, 33 Illustrations, black and white; IX, 107 p. 33 illus., 1 Paperback / softback
Formaat: Paperback / softback, 107 pages, kõrgus x laius: 235x155 mm, kaal: 1942 g, 33 Illustrations, black and white; IX, 107 p. 33 illus., 1 Paperback / softback
This book constitutes the thoroughly refereed post-conference proceedings of the International Conference on Scalable Information Systems, INFOSCALE 2014, held in September 2014 in Seoul, South Korea. The 10 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics such as scalable data analysis and big data applications.
Scalable Data Analytics
Scalable Similarity Search for Big Data: Challenges and Research Objectives
3
(10)
Pavel Zezula
Content-Based Analytics of Diffusion on Social Big Data: A Case Study on Korean Telecommunication Companies
13
(15)
Namhee Lee
Jason J. Jung
Multi-modal Similarity Retrieval with a Shared Distributed Data Store
28
(10)
David Novak
An Efficient Approach for Complex Data Summarization Using Multiview Clustering
38
(13)
Mohiuddin Ahmed
Abdun Naser Mahmood
Michael J. Maher
Big Data Applications
A Novel Approach for Network Traffic Summarization
51
(10)
Mohiuddin Ahmed
Abdun Naser Mahmood
Michael J. Maher
Heart Disease Diagnosis Using Co-clustering
61
(10)
Mohiuddin Ahmed
Abdun Naser Mahmood
Michael J. Maher
An Investigation of Scalable Anomaly Detection Techniques for a Large Network of Wi-Fi Hotspots
71
(9)
Pheeha Machaka
Antoine Bagula
Link Scheduling for Data Collection in Multichannel Wireless Sensor Networks
80
(11)
Meng-Shiuan Pan
Yi-Hsun Lee
A Design of Sensor Data Ontology for a Large Scale Crop Growth Environment System
91
(6)
Eunji Lee
Byeongkyu Ko
Chang Choi
Pankoo Kim
Real-Time Data Flow Language Processing System for Handling Streams of Data
