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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.

Contributor(s): Jung, Jason J [editor.] | Badica, Costin [editor.] | Kiss, Attila [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering: 139Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: IX, 107 p. 33 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319168685.Subject(s): Computer science | Coding theory | Computer Science | Coding and Information TheoryAdditional physical formats: Printed edition:: No titleDDC classification: 003.54 Online resources: Click here to access online
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.
In: Springer eBooksSummary: 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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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.

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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