Semester: Fall 2021 - Islamic Azad University, Mashhad branch

Lecturer:‌ Dr. Mehrdad Jalali

Website: https://mehrdad-dev.ir/webmining-course-fall2021/

GitHub Repo: https://github.com/mehrdad-dev/webmining-course-fall2021

Tools: Python, RapidMiner, Gephi

Home Work list:

• Homework 1: applications, advantages and tools of the web mining
• Homework 2: Graph Partitioning Clustering - Terms (maximal clique & Single Link Clustering Method)
• Homework 3: RapidMiner - Classification and Clustering on a kaggle dataset about phishing websites
• Homework 4: KNN on webpages - N=3
• Homework 5: Graph Partitioning Clustering - Pages (maximal clique & Single Link Clustering Method)
• Homework 6: User Classification - KNN
• Homework 7: Review an article about the recommender systems
• Homework 8: Predict item score for a user in recommender system
• Homework 9: Collaborative Filtering Recommender System For Movie (MovieLens Dataset, Python)
• Homework 10: Item-based collaborative filtering
• Homework 11: Analysis of a graph network using Gephi

Projects:

• design and implementation a recommender system - repo link - demo link

My Presentations:

• How to Find Maximal Cliques in a Graph using Python & ​KNN Classification example using scikit-learn library - jupyter notebook - python code

Licence: see licence