• DocumentCode
    3762324
  • Title

    Multiple MapReduce and derivative projected database: New approach for supporting PrefixSpan scalability

  • Author

    Puspita Nurul Sabrina;G. A. Putri Saptawati

  • Author_Institution
    School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
  • fYear
    2015
  • Firstpage
    148
  • Lastpage
    153
  • Abstract
    To support PrefixSpan scalability, there exits two problems regarding its implementation in MapReduce framework. The first problem is related to parsing & analyzing big data, while the second one is related to managing projected databases. In this paper, we propose two methods i.e. Multiple MapReduce and Derivative Projected Database to overcome the first and the second problems. Our experiments show that those proposed method can significantly reduce execution time in supporting the scalability of PrefixSpan.
  • Keywords
    "Databases","Big data","Scalability","Data mining","File systems","Software engineering","Program processors"
  • Publisher
    ieee
  • Conference_Titel
    Data and Software Engineering (ICoDSE), 2015 International Conference on
  • Print_ISBN
    978-1-4673-8428-5
  • Type

    conf

  • DOI
    10.1109/ICODSE.2015.7436988
  • Filename
    7436988
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3762324