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COLLABORATECOM 2012
CCSocialComp 2012TrustCol 2012C-Big 2012
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Ethics and Malpractice Statement

    C-Big

    International Workshop on Collaborative Big Data

    The ability to collect, integrate, and analyze data from large number of diverse data sources has increased the amount of data collected and processed by individual organizations on the order of several tens to hundreds of TB. This data can be efficiently utilized for better decision making, improv…

    The ability to collect, integrate, and analyze data from large number of diverse data sources has increased the amount of data collected and processed by individual organizations on the order of several tens to hundreds of TB. This data can be efficiently utilized for better decision making, improved business intelligence, as well as for enabling new knowledge and services.

    Collaborative generation and utilization of large quantities of data, either through crowdsourcing or through efforts of different organizations and groups creates notable research opportunities. The potential benefits of Collaborative Big Data, as well as new and unexpected challenges are still emerging. Managing, processing, and making sense of this data pose new challenges in storage, networking, database management, data mining, knowledge discovery, information security and privacy.

    C-Big 2012 brings together researchers and practitioners from around the world to share their experiences on creating, managing, and handling Collaborative Big Data and its benefits.

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    Editor(s): Calton Pu (Georgia Institute of Technology, USA), James Joshi (University of Pittsburgh, USA) and Surya Nepal (CSIRO, Australia)
    Publisher
    ICST
    Conference dates
    14th Oct 2012
    Location
    Pittsburgh, USA
    Appeared in EUDL
    2012-12-14

    Copyright © 2012–2025 ICST

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    Showing 1–6 of 6 results
    Page size: 102550
    • 1
    • Biologically-inspired Network “Memory” for Smarter Networking

      Research Article in International Workshop on Collaborative Big Data

      Bassem Mokhtar, Mohamed Eltoweissy
    • Delta Extraction Optimization for View Maintenance in a Limited Collaborative Environment

      Research Article in International Workshop on Collaborative Big Data

      Zheng Lu, Haijun Liu, Peter Hyland
    • Efficient Processing of Models for Large-scale Shotgun Proteomics Data

      Research Article in International Workshop on Collaborative Big Data

      Himanshu Grover, Vanathi Gopalakrishnan
    • Robust Decision Engineering: Collaborative Big Data and its Application to International Development/Aid

      Research Article in International Workshop on Collaborative Big Data

      Steve Chan, Wesley Rhodes, Charles Atencio, Caroline Kuo, Brent Ranalli, Anna Miao, Simone Sala, Stephen Serene, Robert Helbling, Sarah Rumbley, Marc Clement, Lisa Sokol, Loren Gary
    • Towards Efficient Query Processing on Massive Time-Evolving Graphs

      Research Article in International Workshop on Collaborative Big Data

      Arash Fard, Amir Abdolrashidi, Lakshmish Ramaswamy, John Miller
    • Using a Distributed Search Engine to Identify Optimal Product Sets for Use in an Outbreak Detection System

      Research Article in International Workshop on Collaborative Big Data

      Ruhsary Rexit, Fuchiang (Rich) Tsui, Jeremy Espino, Sahawut Wesaratchakit, Ye Ye, Panos Chrysanthis
    • 1
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