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Scalable Information Systems [electronic resource] : 5th International Conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, Revised Selected Papers / edited by Jason J. Jung, Costin Badica, Attila Kiss

Author:
Jung, Jason J.
Published:
Cham : Springer International Publishing : Imprint: Springer, 2015.
Physical Description:
IX, 107 pages 33 illustrations : online resource
Additional Creators:
Badica, Costin, Kiss, Attila, and SpringerLink (Online service)
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Series:
Contents:
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.
Summary:
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.
Subject(s):
ISBN:
9783319168685
Digital File Characteristics:
text file PDF
Note:
AVAILABLE ONLINE TO AUTHORIZED PSU USERS.
Part Of:
Springer eBooks
View MARC record | catkey: 14999988