Bachelor/Master thesis: Private Graph Sampling for Association Rules Mining

Moderator: Aktive Fachschaft

Forumsregeln
Auch ohne Registrierung können Beiträge in diesem Unterforum geschrieben werden.
Aidmar
Neuling
Neuling
Beiträge: 7
Registriert: 16. Mär 2016 09:48

Bachelor/Master thesis: Private Graph Sampling for Association Rules Mining

Beitrag von Aidmar » 15. Jul 2019 18:49

Bachelor/Master Thesis
Title: Private Graph Sampling for Association Rules Mining
Telecooperation Lab, Computer Science department, TU-Darmstadt

Recommender systems are heavily used in many online services (e.g., suggesting friends in Facebook). Association rules mining (ARM) is one of the techniques used to build recommender systems. Building the rules based on a huge amount of data (e.g., social networks) is costly in terms of time and computation. Sampling the data is a proposed solution. User data can contain sensitive information, therefore, the sampling must bs applied in a privacy-preserving manner.

In this thesis, we aim to:
1. Study different graph sampling approaches
2. Assess the approaches in terms of (a) quality of ARM, and (b) privacy
3. Propose an adapted/new approach

Required skills:
-Interested in privacy and security
-Interested in data mining and graph theory
-Programming skills (preferably Python)

Contact: Aidmar Wainakh (wainakh@tk.tu-darmstadt.de)

Please make your email's subject: [PPARM THESIS APPLICANT]

Zurück zu „Abschlussarbeiten“