EMOSS: An Efficient Algorithm to Hide Sequential Patterns
عنوان مقاله: EMOSS: An Efficient Algorithm to Hide Sequential Patterns
شناسه ملی مقاله: JR_ITRC-7-4_007
منتشر شده در در سال 1394
شناسه ملی مقاله: JR_ITRC-7-4_007
منتشر شده در در سال 1394
مشخصات نویسندگان مقاله:
Olya Sadat Behbahani
Mir Mohsen Pedram
Kambiz Badie
Babak Rahbarinia
خلاصه مقاله:
Olya Sadat Behbahani
Mir Mohsen Pedram
Kambiz Badie
Babak Rahbarinia
Nowadays data mining is the way of extracting hidden knowledge from raw data whereas sequence mining aims to find sequential patterns that are frequent in the database, so publishing these data may lead to the disclosure of private information about organizations or individuals. Knowledge hiding is the process of hiding sensitive knowledge extracted previously from the database, to ensure that no abuse will be caused. This paper addresses the problem of sequential pattern hiding and proposes an efficient algorithm which uses a multi-objective approach to overcome the problem of sequence hiding as well as maintaining database fidelity as much as possible. It also shows that the proposed algorithm outperforms existing methods in terms of both speed and memory usage.
کلمات کلیدی: data mining, sequence mining, knowledge hiding, sequential pattern
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1425514/