KBEISecurity in Data Mining

Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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KBEI03_011

تاریخ نمایه سازی: 11 مرداد 1396

Abstract:

Data mining is a special technique for discovery of new and interesting data patterns from large datasets. Naturally such a process is very useful in analyzing information and making executive decisions. Recent developments in information technology have enabled collection and processing of enormous amount of personal data, such as criminal records, online shopping habits, online banking, credit and medical history, and driving records. Such information is undoubtedly very useful in many areas, including medical research, law enforcement, and national security. The privacy and security of user information have become significant public policy anxieties and these anxieties are receiving increased interest by the both public and government lawmaker and controller, privacy advocates, and the media. Data Storage, data access efficiently and speedily is not only the key for competitiveness but the date security and privacy is important and is the new research challenges for Researchers as well as for any business industry. In fact, data mining can discover patterns and different knowledge that has not been discovered yet and it can be a threat to privacy and security. This article evaluates the importance of security in data mining

Authors

Reza Sadeghi

Faculty of Engineering, Islamic Azad University E-CampusTehran, Iran

Zahra Mivehi

Faculty of Engineering, Islamic Azad University E-CampusTehran, Iran

Sahar Bagheri khorzoghi

Faculty of Engineering, Islamic Azad University E-CampusTehran, Iran

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  • [] Gupta, Anish, a Bibhu, Vimal, Hussain, Md. Rashid, (), ...
  • [] Morgenstern, M., «Security and Inference in Multilevel Database and ...
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