Scalable Information Systems : 5th International Conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, Revised selected papers /

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Bibliographic Details
Meeting name:	INFOSCALE (Conference) (5th : 2014 : Seoul, South Korea)
Imprint:	Cham : Springer, 2015.
Description:	1 online resource (ix, 107 pages) : illustrations.
Language:	English
Series:	Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1867-8211 ; 139 Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; 139.
Subject:	Computer networks -- Scalability -- Congresses. Peer-to-peer architecture (Computer networks) -- Congresses. Computer networks -- Scalability. Peer-to-peer architecture (Computer networks) Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11093073

Hidden Bibliographic Details
Varying Form of Title:	INFOSCALE 2014
Other authors / contributors:	Jung, Jason J., editor. Badica, Costin, editor. Kiss, Attila, editor.
ISBN:	9783319168685 3319168681 3319168673 9783319168678 9783319168678
Notes:	Includes author index. Online resource; title from PDF title page (SpringerLink, viewed April 17, 2015).
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.
Other form:	Printed edition: 9783319168678
Standard no.:	10.1007/978-3-319-16868-5

Table of 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.

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