資料探勘
Data Mining
| 節 | 週二 |
|---|---|
5 13:20–14:10 | 資料探勘 EC115（光復） 2 節連堂 |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
This course is an introductory course on data mining. It briefly introduces the basic concepts, principles, methods, implementation techniques, and applications of data mining. Some advanced techniques in deep learning will also be covered.
Machine Learning, Artificial Intelligence, Python Programming
無備註
上課以投影片內容為主,並指派作業作為實作練習。
3 homework、1 term project、1 group presentation Homework:60% Final project:30% Group presentation:10% (No exam)
Association Analysis
1.Association Rule Mining 2. Apriori Algorithm
Regression
Linear Regression
Classification
1. Decision Tree 2. Logistic Regression
Deep Learning for Data Mining
1. Neural networks 2. Transformer 3. Graph neural network
Introduction to Data Mining
1. Basic concepts of data 2. Data Preprocessing 3. Applications of Data Mining
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction of the Course 2025-02-18(二) |
| 第 2 週 | Introduction to Data Mining 2025-02-25(二) |
| 第 3 週 | Association Analysis 2025-03-04(二) |
| 第 4 週 | Regression 2025-03-11(二) |
| 第 5 週 | Classification (Basic Concepts and Techniques) 2025-03-18(二) |
| 第 6 週 | Neural Networks in Data Mining (DNN) 2025-03-25(二) |
| 第 7 週 | Neural Networks in Data Mining (CNN, LSTM) 2025-04-01(二) |
| 第 8 週 | Midterm (No Class) 2025-04-08(二) |
| 第 9 週 | Anomaly Detection 2025-04-15(二) |
| 第 10 週 | Neural Networks in Data Mining (self-attention) 2025-04-22(二) |
| 第 11 週 | WWW 2025 (No Class) 2025-04-29(二) |
| 第 12 週 | Neural Networks in Data Mining (Transformer) 2025-05-06(二) |
| 第 13 週 | Large Language Models in Data Mining 2025-05-13(二) |
| 第 14 週 | Graph Neural Network 2025-05-20(二) |
| 第 15 週 | Group Presentation (Asynchronous & No Class) 2025-05-27(二) |
| 第 16 週 | Final exam (No Class) 2025-06-03(二) |
Pang-Ning Tan, Michael Steinbach, and Vipin Kumar. Introduction to data mining. Pearson Education India, 2016.
- 地點
- 教師未提供此項資料
- 時間
- by appointment
- 聯絡方式
- by e-mail