Scalable Information Systems 5th International Conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, Revised Selected Papers / [electronic resource] :
edited by Jason J. Jung, Costin Badica, Attila Kiss.
- IX, 107 p. 33 illus. online resource.
- Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 139 1867-8211 ; .
- Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 139 .
Scalable Similarity Search for Big Data - Challenges and Research Objectives -- Content-based analytics of Diffusion on Social Big Data: a Case Study on Korean Telecommunication Companies -- Multi-modal Similarity Retrieval with a Shared Distributed Data Store -- An Efficient Approach for Complex Data Summarization -- A Novel Approach for Network Traffic Summarization -- Heart Disease Diagnosis Using Co-Clustering -- An Investigation of Scalable Anomaly Detection Techniques for a Large Network of Wi-Fi Hotspots -- Link Scheduling for Data Collection in Multichannel Wireless Sensor Networks A Design of Sensor Data Ontology for a Large Scale Crop Growth Environment System -- Real-Time Data Flow Language Processing System for Handling Streams of Data.
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 9 revised full papers presented were carefully reviewed and selected from 14 submissions. The papers cover a wide range of topics such as scalable data analysis and big data applications.
9783319168685
10.1007/978-3-319-16868-5 doi
Computer science. Coding theory. Computer Science. Coding and Information Theory.