資料探勘
Data Mining
學期
111-2
學分
2
學分
當期課號
131011
永久課號
MDBI30080
開課單位
生物醫學資訊研究所
授課教師
洪哲倫
校區
陽明
類別
選修
上課時間表
| 節 | 週一 |
|---|---|
3 10:10–11:00 | 資料探勘 YR103 2 節連堂 |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
概述
本課程旨在介紹資料探勘之原理及最新技術,並輔以論文研討以了解其相關應用及研究方向。The objective of this course is to introduce the principles and latest techniques of data exploration, supplemented by thesis discussion to understand its relevant applications and research directions.
教學方式
1.了解資料性質與分析動機 2.了解各種資料分析方法與技巧 3.了解各種機器學習模型與使用方式1. Understand the nature of the data and the motivation for analysis. 2. Understand various data analysis methods and techniques. 3. Understand various machine learning models and how to use them.
評分方式
1.作業 30% 2.報告 30% 3.期末考 40%1. Assignments 30% 2. Group Projects 30% 3. Term exam 40%
週次計畫
| 週次 | 主題 |
|---|---|
| 第 1 週 | Syllabus |
| 第 2 週 | What is Data Mining / Machine Learning |
| 第 3 週 | Peace Memorial Day |
| 第 4 週 | Mining Frequent Patterns |
| 第 5 週 | Classification and Prediction (1/3) |
| 第 6 週 | Classification and Prediction (2/3) |
| 第 7 週 | Data Analytics Competition Introduction |
| 第 8 週 | Tomb Sweeping Day |
| 第 9 週 | Text Mining (1/2) |
| 第 10 週 | Text Mining (2/2) |
| 第 11 週 | Competition Presentation (1/2) |
| 第 12 週 | Competition Presentation (2/2) |
| 第 13 週 | Paper Presentation (1/2) |
| 第 14 週 | Paper Presentation (2/2) |
| 第 15 週 | Project Presentation (1/2) |
| 第 16 週 | Project Presentation (2/2) |
| 第 17 週 | Discussion |
| 第 18 週 | Discussion |
教科書
Data Mining: Concepts and Techniques, 3rd ed, Jiawei Han, Micheline Kamber, and Jian Pei ※請遵守智慧財產權念,不得不法影印