0% Complete
English
صفحه اصلی
/
یازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Classification and Evaluation of Privacy Preserving Data Mining Methods
نویسندگان :
Negar Nasiri
1
Mohammadreza Keyvanpour
2
1- دانشگاه الزهرا(س)
2- دانشگاه الزهرا(س)
کلمات کلیدی :
Information, Privacy, Data Mining, Privacy preserving Data Mining, PPDM
چکیده :
Abstract— In the recently age, the volume of information is growing exponentially. This data can be used in various fields such as business, healthcare, cyber security, etc. Extracting useful knowledge from raw information is an important process. But the challenge in this process is the sensitivity of this information, which has made owners reluctant to share their information. This has led the study of the privacy of data in data mining to be a hot topic today. In this paper, an attempt is made to provide a framework for qualitative analysis of methods. This qualitative framework consists of three main sections: a comprehensive classification of proposed methods, proposed evaluation criteria and their qualitative evaluation. Our main purpose of presenting this framework is 1) systematic introduction of the most important methods of privacy preserving in data mining 2) creating a suitable platform for qualitative comparison of these methods 3) providing the possibility of selecting methods appropriate to the needs of application areas 4) systematic introduction of points Weakness of existing methods as a prerequisite for improving methods of PPDM.
لیست مقالات
لیست مقالات بایگانی شده
Using Trust Statements and Ratings by GraphSAGE to Alleviate Cold Start in Recommender Systems
Seyedeh Niusha Motevallian - Dr Seyed Mohammad Hossein Hasheminejad
پیشبینی حجم ترافیک شهری با استفاده از دادههای سرویس نشان مورد مطالعاتی: خیابان کمال اصفهان
مهسا لطیفی - جمشید مالکی
جمعآوری، تحلیل و خلاصه سازی نظرات کاربران فارسی زبان در شبکههای اجتماعی پیرامون بیماری فراگیر کووید-19
محمدرضا شمس - محمد یاسین فخار محمدرضا شمس - محمد یاسین فخار -
A Potential Solutions-Based Parallelized GA for Application Graph Mapping in Reconfigurable Hardware
Seyed Mehdi Mohtavipour - Hadi Shahriar Shahhoseini
Customer Churn Prediction Using Data Mining Techniques for an Iranian Payment Application
Olya Rezaeian - Dr ُSeyedhamidreza Shahabi Haghighi - Dr Jamal Shahrabi
نظرکاوی در سطح مفهوم با استفاده از رویکردی ترکیبی
سیدرضا قادریان خیرآبادی سیدرضا قادریان خیرآبادی -
SDN-based Deep Anomaly Detection For Securing Cloud Gaming Servers
Mohammadreza Ghafari - Dr Seyed Mostafa Safavi Hemami
Business Process Improvement Challenges: A Systematic Literature Review
Hanieh Kashfi - Fereidoon Shams Aliee
Predicting Concentration of Particulate Matter (PM2.5) in Hamedan using Machine Learning Algorithms
Anita Karim Ghassabpour - Hatam Abdoli - Muharram Mansoorizadeh - Saeid Seyedi
A Model-Driven Approach for Automatic Generation of Android Tourism Applications
Sara Adib - Bahman Zamani
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.3.1