• DocumentCode
    1575750
  • Title

    Privacy preserving heuristic approach for association rule mining in distributed database

  • Author

    Mistry, Bhoomika R. ; Desai, Amish

  • Author_Institution
    Comput. Sci. & Eng, Parul Inst. of Technol., Vadodara, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Association rule mining is a powerful model of data mining used for finding hidden patterns in large databases. The challenges of data mining is to secure the confidentiality of sensitive patterns when releasing database of third parties. Privacy Preserving in this paper is used as hide association rule. Association rule hiding algorithm sanitize database such that certain sensitive association rule cannot be discovered through Association rule mining techniques. There are various approach this describe in this paper but used the Heuristic approach in Data Distortion Technique. The proposed algorithm is the extension of MDSRRC algorithm, which hides multiple R.H.S items. In Proposed work MDSRRC algorithm works on the distributed database. We will show experimental results in comparisons with MDSRRC algorithm in single database and MDSRRC algorithm in distributed database.
  • Keywords
    data mining; data privacy; distributed databases; MDSRRC algorithm; association rule hiding algorithm; association rule mining techniques; data distortion technique; data mining; distributed database; multiple R.H.S item hiding; privacy preserving heuristic approach; Association rules; Complexity theory; Cryptography; Distributed databases; Sensitivity; Data Mining Privacy preserving; association rule hiding; sensitivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6817-6
  • Type

    conf

  • DOI
    10.1109/ICIIECS.2015.7192972
  • Filename
    7192972