此參考說明所註明的目錄。請向該機構確認當前課程供給與適用於你入學的條件。
課程說明
資料探勘 資料探勘導論、資料類型、資料前處理、資料探索與視覺化、資料探勘演算法、模型評估指標、分類與預測、分群、特徵選取與降維、機器學習與資料探勘、關聯規則探勘、文字探勘、大數據分析、資料探勘之倫理與隱私，以及實務案例研究。課程形式：授課，每週3小時。限制：僅開放予BEng主修且累積至少16學分者。先修課程：IENG 3P11。 ENGINEERING COOP COURSES
先修條件
- 先修課程：IENG 3P11。 ENGINEERING COOP COURSES
條件與方式
- 限制：僅開放予BEng主修且累積至少16學分者。
- 先修課程：IENG 3P11。 ENGINEERING COOP COURSES
原文參考文本
Data Mining Introduction to data mining, type of data, data preprocessing, data exploration and visualization, data mining algorithms, model evaluation metrics, classification and prediction, clustering, feature selection and dimensionality reduction, machine learning and data mining, association rule mining, text mining, big data analytics, ethics and privacy in data mining, and real-world case studies. Lectures, 3 hours per week. Restriction: open to BEng majors with a minimum 16 overall credits. Prerequisite(s): IENG 3P11 . ENGINEERING COOP COURSES
- Prerequisite(s): IENG 3P11 . ENGINEERING COOP COURSES
- Restriction: open to BEng majors with a minimum 16 overall credits.
來源與參考
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來源參考 : https://brocku.ca/webcal/2024/undergrad/engs.html