Two Noise Addition Methods For Privacy-Preserving Data Mining
نویسندگان
چکیده
منابع مشابه
A Noise Addition Scheme in Decision Tree for Privacy Preserving Data Mining
Data mining deals with automatic extraction of previously unknown patterns from large amounts of data. Organizations all over the world handle large amounts of data and are dependent on mining gigantic data sets for expansion of their enterprises. These data sets typically contain sensitive individual information, which consequently get exposed to the other parties. Though we cannot deny the be...
متن کاملNoise Addition for Protecting Privacy in Data Mining
In recent years advances in technology facilitated collection and storage of vast amount of data. Many organizations, including large and small businesses, and hospitals and government bodies rely on data for day-to-day operation as well as marketing, planning and research purposes. Examples include criminal records used by law enforcement and national security agencies, medical records used fo...
متن کاملPrivacy Preserving Data Mining
Through data mining collect large amount of data in many organizations. A key value of huge databases today is technical or financial research. In a huge collection of data there arises a key issue that is privacy. Due to personal interests, medical databases or business interests privacy is needed. Due to privacy infringement while performing the data mining operations this is often not possib...
متن کاملPrivacy Preserving Data Mining
Recent interest in data collection and monitoring using data mining for security and business-related applications has raised privacy. Privacy Preserving Data Mining (PPDM) techniques require data modification to disinfect them from sensitive information or to anonymize them at an uncertainty level. This study uses PPDM with adult dataset to investigate effects of K-anonymization for evaluation...
متن کاملPrivacy Preserving Data Mining
There is a tremendous increase in the research of data mining. Data mining is the process of extraction of data from large database. Knowledge Discovery in database (KDD) is another name of data mining. Privacy protection has become a necessary requirement in many data mining applications due to emerging privacy legislation and regulations. One of the most important topics in research community...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Wireless and Microwave Technologies
سال: 2012
ISSN: 2076-1449,2076-9539
DOI: 10.5815/ijwmt.2012.03.05