週次

日期

進度

一

2/22

Introduction

二

3/1

Exploring Data

三

3/8

Data Preprocessing

四

3/15

Data And Data Quality Management

五

3/22

Engineering Inputs and Outputs

六

3/29

Classification: Basic Concepts, Decision Trees, and Model Evaluation

七

4/5

民族掃墓節(放假一天)

八

4/12

Classification: Alternative Techniques

九

4/19

期中考試

十

4/26

Association Analysis: Basic Concepts and Algorithms

十一

5/3

Association Analysis: Advanced Concepts

十二

5/10

Prediction Techniques

十三

5/17

Cluster Analysis

十四

5/24

Anomaly Detection

十五

5/31

Supervised And Unsupervised Learning

十六

6/7

Mining Complex Types of Data

十七

6/14

Applications and Trends of Data Mining

十八

6/21

期末考試