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Scalable Information Systems
Details
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.
Includes supplementary material: sn.pub/extras
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783319168678
- Editor Jason J. Jung, Attila Kiss, Costin Badica
- Sprache Englisch
- Auflage 2015
- Größe H235mm x B155mm x T7mm
- Jahr 2015
- EAN 9783319168678
- Format Kartonierter Einband
- ISBN 3319168673
- Veröffentlichung 16.04.2015
- Titel Scalable Information Systems
- Untertitel 5th International Conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, Revised Selected Papers
- Gewicht 195g
- Herausgeber Springer International Publishing
- Anzahl Seiten 120
- Lesemotiv Verstehen
- Genre Informatik