சுருக்கம்

A DETAILED REVIEW ON PRIVACY PRESERVATION USING DISTANCE MEASURE TECHNIQUE IN DATA MINING

Kuntumalla Latha and Akkarabani Bharani Pradeep Kumar

Privacy is the main concerning in now a days. In this paper we concentrated on distance measures applied to ensure the privacy of the individual sensitive information.Protecting data privacy is an important problem in data distribution. Distance measure techniques typically aim to protect individual privacy, with minimal impact on the quality of the released data. Recently, a few of models are introduced to ensure the privacy protecting and/or to reduce the information loss as much as possible. That is, they further improve the flexibility of the anonymous strategy to make it more close to reality, and then to meet the diverse needs of the people. Various proposals and algorithms have been designed for them at the same time. In this paper we provide an overview of distance measure techniques for privacy preserving. We discuss the distance measure models, the major implementation ways and the strategies of distance measure algorithms, and analyze their advantage and disadvantage. Then we give a simple review of the work accomplished. Finally, we conclude further research directions of distance measure techniques by analyzing the existing work.

குறியிடப்பட்டது

Google Scholar
அகாடமிக் ஜர்னல்ஸ் டேட்டாபேஸ்
ஜே கேட் திறக்கவும்
கல்வி விசைகள்
ஆராய்ச்சி பைபிள்
CiteFactor
எலக்ட்ரானிக் ஜர்னல்ஸ் லைப்ரரி
RefSeek
ஹம்டார்ட் பல்கலைக்கழகம்
அறிஞர்
சர்வதேச புதுமையான இதழ் தாக்க காரணி (IIJIF)
சர்வதேச அமைப்பு ஆராய்ச்சி நிறுவனம் (I2OR)
காஸ்மோஸ்

மேலும் பார்க்க