• DocumentCode
    2661617
  • Title

    ERPAC : A novel framework for integrated distributed systems using data mining mechanisms

  • Author

    Delavar, Arash Ghorbannia ; Rohani, Narjes ; Gashti, Mehdi Zekriyapanah

  • Author_Institution
    Payame Noor Univ., Tehran, Iran
  • Volume
    2
  • fYear
    2010
  • fDate
    3-5 Oct. 2010
  • Abstract
    In this paper a novel framework for integrated resource systems was provided which was used in proposed phases. A novel algorithm, Apriori Checksum, was used in this novel proposed framework. By this technique duplicate data can be optimized compared with previous methods or even able to reach main result without repeating. A special condition is provided in novel ERPAC framework which can decrease repetitions in distributed database of Literacy Movement Organization IRAN and finally with providing a new technical approach in proposed Checksum algorithm, the comparison was made after choosing the biggest candidate key as a recursive set to increase the level of customers´ satisfaction and competitive service providers, increase time access to information and also productivity in comparison to previous studied framework.
  • Keywords
    customer satisfaction; data mining; distributed databases; enterprise resource planning; Apriori Checksum; ERPAC; Iran; Literacy Movement Organization; competitive service provider; customer satisfaction; data mining; distributed database; integrated distributed system; integrated resource system; recursive set; Data mining; Distributed databases; Itemsets; Organizations; Software; Software algorithms; Data Mining; Dependability; ERPAC; Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Technology and Engineering (ICSTE), 2010 2nd International Conference on
  • Conference_Location
    San Juan, PR
  • Print_ISBN
    978-1-4244-8667-0
  • Electronic_ISBN
    978-1-4244-8666-3
  • Type

    conf

  • DOI
    10.1109/ICSTE.2010.5608769
  • Filename
    5608769