課程概述 |
一. 內容1. 導論 (介紹資訊勘測的意義,功能及應用) 2. 資料倉儲 (data warehousing)3. 特徵分析 (characterization) 4. 相關性演算法 (association rules) 5. 分類演算法 (classification) 6. 叢聚分析演算法 (clustering analysis) 7. 順序性分析演算法 (sequential patterns) 8. Web Mining 二. 教科書Textbook:l Data Mining: Concepts and Techniques, J. Han and M. Kamber, Morgan Kaufmann , 2000l Class Notes:l Related journals and conferences proceedings三. 成績評量方式There will be homework assignments (tentatively 5 ), a final exam, and one team project. The instructor reserves the right to revise the grading policy later. The final score of each student will be adjusted to reflect his/her relative performance in the class. 四. 預修課程data structure, database system |