| 國立中興大學教學大綱 |
| 課程名稱 | (中) 高等資料挖掘與巨量資料分析(6655) | ||||||||
| (Eng.) Advanced Data Mining and Big Data Analysis | |||||||||
| 開課單位 | 資工系 | ||||||||
| 課程類別 | 選修 | 學分 | 3 | 授課教師 | 范耀中 | ||||
| 選課單位 | 資工系 / 碩士班 | 授課使用語言 | 中文 | 英文/EMI | N | 開課學期 | 1052 | ||
| 課程簡述 | We will introduce advanced data mining techniques in this course and also introduce the Hadoop platform (Spark and MapReduce Programming Model) | ||||||||
| 先修課程名稱 | 課程含自主學習 | N | |||||||
| 課程與核心能力關聯配比(%) | 課程目標之教學方法與評量方法 | ||||||||||
| 課程目標 | 核心能力 | 配比(%) | 教學方法 | 評量方法 | |||||||
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| 授課內容(單元名稱與內容、習作/每週授課、考試進度-共18週) | |||||||||||
| Topics to be covered in this course - Information-based Learning - Similarity-based Learning - Error-based Learning - Probability-based Learning - Neural-Network-based Learning (Deep Learning) - Performance Evaluation - Text Mining Techniques - Hadoop Programming Model - Spark Programming Model |
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| 學習評量方式 | |||||||||||
| - Midterm Exam 20 % - First Project 20 % - Final Exam 20 % - Second Project 20 % - Assignments 10 % - Final Project KDD 2017 Cup Ranking 10 % |
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| 教科書＆參考書目(書名、作者、書局、代理商、說明) | |||||||||||
| 課程教材（教師個人網址請列在本校內之網址） | |||||||||||
| 高等資料探勘與巨量資料分析 Topics to be covered in this course - Information-based Learning - Similarity-based Learning - Error-based Learning - Probability-based Learning - Neural-Network-based Learning (Deep Learning) - Performance Evaluation - Text Mining Techniques - Hadoop Programming Model - Spark Programming Model Course Project There are three course projects in this course. - First Project: 選擇題機器人：撰寫程式自動填答，系統所條列之選擇題。 - Second Project: Keyword Correlation Project: Constructing Keyword Correlation Models from Wikipedia (Please see example at https://github.com/UDICatNCHU/udic-nlp-API) - Final Project: KDD 2017 Cup Project: Highway Tollgates Traffic Flow Prediction (http://www.kdd.org/kdd2017/News/view/announcing-kdd-cup-2017-highway-tollgates-traffic-flow-prediction) 我們將要求實際參與今年KDD cup，並按全班排名給分。 Evaluation: - Midterm Exam 20 % - First Project 20 % - Final Exam 20 % - Second Project 20 % - Assignments 10 % - Final Project KDD 2017 Cup Ranking 10 % Books: There are no lecture books. The handout will be given. Reference Book: https://mitpress.mit.edu/books/fundamentals-machine-learning-predictive-data-analytics |
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| 課程輔導時間 | |||||||||||
| https://paper.dropbox.com/doc/T1RjitbfsSrV2QmwnSfh3 | |||||||||||
| 聯合國全球永續發展目標(連結網址) | |||||||||||
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| 請尊重智慧財產權及性別平等意識，不得非法影印他人著作。 | |
| 更新日期 西元年/月/日：無 | 列印日期 西元年/月/日：2025 / 6 / 12 |
| MyTB教科書訂購平台：http://www.mytb.com.tw/ | |