Research Postgraduate Programme

The Research Postgraduate Programme at the HKU Musketeers Foundation Institute of Data Science offers a comprehensive education in data science, with a focus on research and academic excellence. The programme is designed for graduate students seeking to understand various data mining tasks and the principal algorithms for addressing those tasks.

Course Description

The course DATA8006 - Advanced Data Mining (Foundation) is a key component of the programme. Data mining is the automatic discovery of statistically interesting and potentially useful patterns from large amounts of data. The goal of the course is to study the main methods used today for data mining on various data (e.g., Web, Spatial, and Temporal data). These methods allow new scientific discoveries and intelligent business decisions be made. Topics include:

• Data Mining Architecture
• Data Preprocessing
• On-Line Analytical Processing (OLAP)
• Classification
• Clustering
• Mining Association Rules
• Recommendation
• Advanced Data Mining Techniques

Additionally, Graph Representation Learning research has grown at an incredible pace in data mining and machine learning communities. This course will also cover recent core techniques and advances in graph representation research for modeling a variety of real-world applications and problems, including machine learning with graphs, heterogeneous graph mining, recommendation with graphs, and spatio-temporal graph learning.

Course Structure

The course includes 3 hours of lectures (by the instructor) per week. Homework includes both written exercises and programming exercises. Depending on the instructor or the need, the course can be offered with midterm and final exams or with a course project (including midterm proposal and final presentation and report). The weighting of coursework and examination is subject to approval.

Prerequisites

Prior knowledge of undergraduate data structure, probability, and programming may facilitate your understanding of the knowledge discovery process, which includes data collection, data cleaning, model building, model testing, and evaluation. This course is intended for graduate students seeking to understand various data mining tasks and the principal algorithms for addressing those tasks.

Course Instructor

The course is taught by Professor Chao Huang, a tenure-track assistant professor at the University of Hong Kong. He is a faculty member of the Institute of Data Science and Department of Computer Science. Before that, he was a research scientist at JD Research America in Silicon Valley. He obtained the Ph.D. degree from the Computing Science and Engineering Department at the University of Notre Dame in the United States.

University of Hong Kong Summary

---

Overview:

The University of Hong Kong (HKU) is a prestigious public research university located in Hong Kong. It is renowned for its academic excellence and global standing, consistently ranking among the top universities worldwide.

---

Services Offered:

---

Student Life and Campus Experience:

---

Key Reasons to Study There:

Global Recognition:

HKU consistently ranks highly in global university rankings, demonstrating its academic excellence and international reputation.

World-Class Faculty:

HKU boasts a distinguished faculty of renowned scholars and researchers, providing students with access to cutting-edge knowledge and expertise.

Diverse Academic Programs:

HKU offers a wide range of undergraduate and postgraduate programs across ten faculties, covering various disciplines and fields of study.

Research Opportunities:

HKU is a leading research institution, providing students with opportunities to engage in research projects and contribute to groundbreaking discoveries.

---

Academic Programs:

HKU offers a comprehensive range of academic programs across ten faculties:

• Architecture
• Arts
• Business
• Dentistry
• Education
• Engineering
• Law
• Medicine
• Science
• Social Sciences

---

Other:

• HKU has a strong commitment to knowledge exchange and community engagement, fostering collaborations and partnerships with various stakeholders.
• The university has a vibrant campus life with numerous student clubs, societies, and events, providing opportunities for personal growth and development.
• HKU is committed to promoting diversity and inclusion, creating a welcoming and supportive environment for students from all backgrounds.