Privacy Preserving in Data Mining

Abstract

Data mining is an increasingly important technology for extracting useful knowledge hidden in large collection of data. It is today well observe that database represent important role in many application and for this reason its security becomes compulsory. To keep the data very confidentially is relevant because of value and need .In recent years, many organization have data collector and collect the data in digital form. .The problem with data mining output is that it also reveals some information, which are considered to be private and personal. Easy access to such personal data poses a threat to individual privacy. There has been growing concern about the chance of misusing personal information behind the scene without the knowledge of actual data owner.Privacy is becoming an increasingly important issue in many data mining applications in distributed environment. Privacy preserving data mining technique gives new direction to solve this problem. In this paper we have given a brief discussion on different privacy preservation techniques and their advantages and disadvantages.

Authors and Affiliations

Pranoti S. Talokar, Renuka D. Mane, Darshana K. Patil

Keywords

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  • EP ID EP19626
  • DOI -
  • Views 280
  • Downloads 4

How To Cite

Pranoti S. Talokar, Renuka D. Mane, Darshana K. Patil (2015). Privacy Preserving in Data Mining. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(2), -. https://europub.co.uk/articles/-A-19626