NCHU Course Outline
Course Name (中) 資料探勘(6659)
(Eng.) Data Mining
Offering Dept Department of Computer Science and Engineering
Course Type Elective Credits 3 Teacher MEHDI NOROUZI
Department Department of Computer Science and Engineering/Graduate Language English Semester 2024-FALL
Course Description Data mining is the exploration and analysis, by automatic or semi-automatic means, of large quantities of data in order to discover meaningful patterns and rules. It has become an important technique for mining knowledge in data exlosion age. This course will cover the basic as well as advanced techniques for data preprocessing, classification, association analysis, clustering, etc.
Prerequisites
self-directed learning in the course N
Relevance of Course Objectives and Core Learning Outcomes(%) Teaching and Assessment Methods for Course Objectives
Course Objectives Competency Indicators Ratio(%) Teaching Methods Assessment Methods
To learn the techniques for extracting interesting patterns from the large databases.
Course Content and Homework/Schedule/Tests Schedule
Week Course Content
Week 1 The topics to be covered are as follows:
1. Introduction
2. Data
3. Exploring Data
4. Classification: Basic Concepts, Decision Trees, and Model Evaluation
5. Classification: Alternative Techniques
6. Association Analysis: Basic Concepts and Algorithms
7. Association Analysis: Advanced Concepts
8. Cluster Analysis: Basic Concepts and Algorithms
9. Cluster Analysis: Additional Issues and Algorithms
10. Anomaly Detection
11. SAS/Enterprise Miner, WEKA
Week 2
Week 3
Week 4
Week 5
Week 6
Week 7
Week 8
Week 9
Week 10
Week 11
Week 12
Week 13
Week 14
Week 15
Week 16
Week 17
Week 18
Evaluation

Textbook & other References

Teaching Aids & Teacher's Website

Office Hours

Sustainable Development Goals, SDGs
include experience courses:N
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Update Date, year/month/day:2024/08/01 11:21:15 Printed Date, year/month/day:2024 / 10 / 04
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