International Conference on Information and Knowledge Technology

فارسی

Home / یازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش

Classification and Evaluation of Privacy Preserving Data Mining Methods

Authors :

Negar Nasiri¹ Mohammadreza Keyvanpour²

1- دانشگاه الزهرا(س) 2- دانشگاه الزهرا(س)

Keywords :

Information, Privacy, Data Mining, Privacy preserving Data Mining, PPDM

Abstract :

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.

List of archived papers

Leveraging Retrieval-Augmented Generation for Persian University Knowledge Retrieval

Arshia Hemmat - Mohammad Hassan Heydari - Kianoosh Vadaei - Afsaneh Fatemi

مکان‌یابی خطاهای کاربردها و خدمات نرم‌افزاری با کمک تولید داده آزمون با نامتغیرهای محتمل

محمد نصرتی مقدم - حسن حقیقی - مجتبی وحیدی اصل

Architectural Insights: Comparing Weight Stationary and Output Stationary Systolic Arrays for Efficient Computation

Mahdi Kalbasi

Business Process Improvement Challenges: A Systematic Literature Review

Hanieh Kashfi - Fereidoon Shams Aliee

PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graph

Romina Etezadi - Mehrnoush Shamsfard

یک روش کارآمد جهت تشخیص آنلاین حملات DRDoS به سرویس های مبتنی بر UDP درمعماری SDN با استفاده از الگوریتم های یادگیری ماشین

میترا اکبری کهنه شهری - دکتر رضا محمدی - دکتر محمد نصیری میترا اکبری کهنه شهری - رضا محمدی - محمد نصیری -

A Community-Based Method for Identifying Influential Nodes using Network Embedding

Nargess Vafaei - Dr Mohammad Reza Keyvanpour

چارچوب پیش‌بینی خرابی تطبیقی مبتنی بر شبکه عصبی گراف پویا و GRU در سامانه‌های صنعتی IIoT

رسول اسماعیلی فرد - لیلا رنجبر

A Deep Neural Network-based Method for MmWave Time-varying Channel Estimation

Amirhossein Molazadeh - Zahra Maroufi - Mehrdad Ardebilipour

استخراج ویژگی مجموعه داده‌های پزشکی دارای ابعاد بالا با استفاده از برنامه نویسی ژنتیک چند منظوره

سحر فقیهی راد - دکتر سیده نفیسه آل محمد سحر فقیهی راد - سیده نفیسه آل محمد -

more

Samin Hamayesh - Version 42.5.2