本課程將介紹資料挖礦與大數據分析的理論方法與應用，並加入豐富的實務案例，具體 說明如何應用資料挖礦與大數據分析技術以解決真實問題，深入淺出地剖析資料挖礦與大數據分析，內容涵蓋資料挖礦基本概念與資料準備、資料挖礦的方法與實證、資料挖礦與大數 據分析的進階運用；此外，配合教材提供R 程式語言與實作範例說明，使學生能實際應用 資料挖礦方法解決相關問題，進而提升大數據分析和數位決策能力。
This course will introduce the theoretical methods and applications of data mining and large data analysis, and add rich practical cases to specifically explain how to apply data mining and large data analysis techniques to solve real problems, and analyze data mining and large data analysis in depth and in-depth and purely. The content covers the advanced application of data mining and data preparation, data mining methods and evidence, data mining and large data analysis; in addition, it provides R in conjunction with the textbook. Programming and practical examples allow students to apply data mining methods to solve related problems, thereby improving their ability to analyze and make digital decisions.
大數據分析與資料挖礦2/e
Large data analysis and data mining 2/e
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 資料探索課堂作業 (個人)資料探索課堂作業 (個人) Information Exploration Classroom Operation (Personal) |
20 | |
| 課程出席 (個人)課程出席 (個人) Course attendance (personal) |
10 | |
| 課程參與回饋 (個人)課程參與回饋 (個人) Course Participation and Reward (Personal) |
20 | |
| 期中考 (個人)期中考 (個人) Midterm exam (personal) |
20 | |
| 期末專題報告(分組作業)期末專題報告(分組作業) Final topic report (partition operation) |
30 |
