Instructor: Prof. O-Joun Lee

Office: Michael Hall T404

Office Hour:

e-mail: [email protected]

Website: https://nslab-cuk.github.io/

Lecture Time: Tuesday 7-8/Thursday 7

TA: Van Thuy Hoang

Lab: Sophie Barat Hall B348

Office Hour:

e-mail: [email protected]

TA: Sang Thanh Nguyen

Lab: Sophie Barat Hall B348

Office Hour:

e-mail: [email protected]

📜 Introduction

In this class, we will be exploring the techniques and algorithms used to analyze and mine large-scale graphs and networks. We will cover various types of graph-based data and the unique challenges they pose in terms of data storage and processing. You will learn how to apply different techniques, such as graph traversal, centrality measures, and community detection, to extract valuable insights from large-scale graph data. Furthermore, we will discuss the various applications of graph mining such as social network analysis, fraud detection, and recommendation systems. By the end of this class, you will have a solid understanding of the key concepts and techniques in graph mining and be able to apply them to real-world problems.

📚 Course Materials

References

🗓 Schedule