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A Proposal of a Big Web Data Application and Archive for the Distributed Data Processing with Apache Hadoop

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F15%3A39899495" target="_blank" >RIV/00216275:25410/15:39899495 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-24306-1_28" target="_blank" >http://dx.doi.org/10.1007/978-3-319-24306-1_28</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-24306-1_28" target="_blank" >10.1007/978-3-319-24306-1_28</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Proposal of a Big Web Data Application and Archive for the Distributed Data Processing with Apache Hadoop

  • Original language description

    In recent years, research on big data, data storage and other topics that represent innovations in the analytics field has become very popular. This paper describes a proposal of a big web data application and archive for the distributed data processing with Apache Hadoop, including the framework with selected methods, which can be used with this platform. It proposes a workflow to create a web content mining application and a big data archive, which uses modern technologies like Python, PHP, JavaScript, MySQL and cloud services. It also shows the overview about the architecture, methods and data structures used in the context of web mining, distributed processing and big data analytics.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Computational Collective Intelligence. Proceedings. Part II.

  • ISBN

    978-3-319-24305-4

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    285-294

  • Publisher name

    Springer International Publishing AG

  • Place of publication

    Cham

  • Event location

    Madrid

  • Event date

    Sep 21, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000366123600028