Seoul National University
M1522.000900 Data Mining
Spring 2021 - U Kang

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Course Information

Data mining refers to theories and techniques for finding useful patterns from massive amount of data. Data mining has been used in high impact applications including web analysis, recommendation system, fraud detection, cyber security, etc. This course covers important algorithms and theories for data mining. Main topics include finding similar items, mining frequent patterns, link analysis, link prediction, recommendation system, data stream mining, clustering, graph mining, time series prediction, and outlier detection.

Schedule

Date Topic Notice
Mar 2 Introduction
4 Basics (Chapter 1)
9 Finding Similar Items (Chapter 3)
11 Finding Similar Items-2 (Chapter 3): use the previous slide
16 Finding Similar Items-3 (Chapter 3): use the previous slide HW1 out (due: Mar. 25)
18 Mining Data Streams (Chapter 4)
23 Mining Data Streams-2 (Chapter 4)
25, 30 Mining Data Streams-3 (Chapter 4) HW2 out (due: Apr. 8)
Apr. 1 Link Analysis (Chapter 5)
6 Link Analysis-2 (Chapter 5)
8 Link Analysis-3 (Chapter 5)
13 Link Prediction HW 3 out (due: Apr. 29)
15 Frequent Itemsets (Chapter 6)
20 Midterm
22 Frequent Itemsets-2 (Chapter 6)
27 Clustering (Chapter 7)
29 Advertising on the Web (Chapter 8) HW 4 out (due: May 13)
May 4 Advertising on the Web (Chapter 8)
6 Recommendation (Chapter 9)
11 Recommendation (Chapter 9)
13 Recommendation (Chapter 9) HW 5 out (due: May 27)
18 Mining Social-Network Graphs (Chapter 10)
20 Mining Social-Network Graphs-2 (Chapter 10)
25 Dimensionality Reduction (Chapter 11)
27 Dimensionality Reduction-2 (Chapter 11) HW 6 out (due: June 8)
June 1 Time Series Prediction
3 Anomaly Detection
8 Conclusion
10 Final

Grading

Late policy - for all deliverables:

Textbook

The text book is
Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, Jeff Ullman. (available in online)

Prerequisite

We expect you to have an undergraduate-level knowledge on the following topics: We provide some background, but the class will be fast paced.
Last modified Jan. 19, 2021, by U Kang