SDSC3002 - Data Mining

Offering Academic Unit
School of Data Science
Credit Units
Course Duration
One Semester
Course Offering Term*:
Semester B 2022/23

* The offering term is subject to change without prior notice
Course Aims

Data mining is about the extraction of non-trivial, implicit, previously unknown and potentially useful principles, patterns or knowledge from massive amount of data. This course introduces the foundation of data mining techniques, including basic concepts of data representation, new software stack for processing massive data such as MapReduce and Spark, and popular data mining tasks like mining frequent itemsets, nearest neighbor search, clustering analysis and graph mining. Students will also learn how data mining techniques are used in real-world applications such as online advertising and recommender systems.

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 70%
Examination: 30%
Examination Duration: 2 hours
Detailed Course Information


Useful Links

School of Data Science