Scalable Information Systems

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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

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