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    Data analysis in the cloud : models, techniques and applications / Domenico Talia, Paolo Trunfio, Fabrizio Marozzo.

    By: Talia, Domenico [author.]Contributor(s): Trunfio, Paolo [author.] | Marozzo, Fabrizio [author.]Material type: TextTextSeries: Computer science reviews and trends: Publisher: Amsterdam ; Boston : Elsevier, [2016]Copyright date: ©2016Description: xii, 138 pages : illustrations ; 23 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9780128028810Subject(s): Quantitative research | Data mining | Cloud computing | Cloud computing | Data mining | Quantitative researchDDC classification: 006.3/12 LOC classification: QA76.9.Q36 | .T35 2016
    Contents:
    1. Introduction to data mining -- 2. Introduction to cloud computing -- 3. Models and techniques for cloud-based data analysis -- 4. Designing and supporting scalable data analytics -- 5. Research trends in big data analysis.
    Summary: "Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud. Coverage includes scalable data mining and knowledge discovery solutions together with cloud computing concepts, models, and systems. Included are case studies of high-performance distributed analysis of large data on clouds." -- Back cover.
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    Item type Current library Call number Copy number Status Notes Date due Barcode
    Books Books Female Library
    		QA76.9.Q36 .T35 2016 (Browse shelf (Opens below)) 1 Available STACKS 51952000199113
    Books Books Main Library
    		QA76.9.Q36 .T35 2016 (Browse shelf (Opens below)) 1 Available STACKS 51952000199106

    Includes bibliographical references.

    "Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud. Coverage includes scalable data mining and knowledge discovery solutions together with cloud computing concepts, models, and systems. Included are case studies of high-performance distributed analysis of large data on clouds." -- Back cover.

    1. Introduction to data mining -- 2. Introduction to cloud computing -- 3. Models and techniques for cloud-based data analysis -- 4. Designing and supporting scalable data analytics -- 5. Research trends in big data analysis.

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