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Scalable Information Systems: 5th International Conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, Revised Selected Papers de Jason J. Jung

Scalable Information Systems: 5th International Conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, Revised Selected Papers: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, cartea 139

Editat de Jason J. Jung, Costin Badica, Attila Kiss
en Limba Engleză Paperback – 16 apr 2015
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.
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Specificații

ISBN-13: 9783319168678
ISBN-10: 3319168673
Pagini: 109
Ilustrații: IX, 107 p. 33 illus.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.18 kg
Ediția:2015
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

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.

Caracteristici

Includes supplementary material: sn.pub/extras