校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

資料探勘專題

Special Topics on Data Mining

學期
106-2
學分
3 學分
當期課號
5543
永久課號
IIM5711
開課單位
資訊管理研究所
授課教師
劉敦仁
校區
光復
類別
選修
上課時間表
週二
A
18:30–19:20
資料探勘專題
MB304
3 節連堂
B
19:30–20:20
C
20:30–21:20

* 根據陽明交大上課時間表所列

概述

課程概述與目標:The main objective of this class is to explore research topics on techniques and applications of data mining, drawing work from areas including database technology, artificial intelligence, machine learning and knowledge-based systems. Selected research papers from conference proceedings and journals will be discussed. The course will cover research topics relating to mining association rules, mining sequence data, classification, clustering, process mining and text mining. Moreover, the course emphasizes on the practices of applying data mining techniques to various applications, including recommender systems, knowledge support systems, social network analysis, patent analysis and problem solving. Core research skills of literature analysis, innovation, evaluation of new ideas, and communication are emphasized via paper presentation and discussion.

先修科目

Advanced database management systems

教學方式

Paper Survey or Project (40%), Presentation & Discussion (40%), Others (20%)

評分方式

Paper Survey or Project (40%), Presentation & Discussion (40%), Others (20%)

課程大綱
  • Overview; Recommender systems
  • Text Mining & Knowledge Engineering
  • Social Network Analysis & Link Analysis
  • Knowledge Flow & Process Mining
  • Review Mining
  • Problem Solving & Case-based Reasoning
週次計畫
週次主題
第 1 週Overview
第 2 週Content-based filtering; Collaborative filtering
第 3 週Hybrid; Association-based recommendation
第 4 週Document recommendation
第 5 週Text mining
第 6 週Information retrieval & filtering
第 7 週Knowledge support; Task relevant knowledge
第 8 週Social network analysis; Link analysis
第 9 週Community of Practice; Recommendations
第 10 週Paper Survey (Project): Mid-Presentation & Report
第 11 週Knowledge flow
第 12 週Process mining; Knowledge flow mining
第 13 週Knowledge support & sharing
第 14 週Review analysis
第 15 週Review mining and Recommendation
第 16 週Problem solving; Case-based reasoning
第 17 週Knowledge support for Problem Solving
第 18 週Paper survey (Project) : Final Presentation & Report
教科書

Data Mining: Concepts and Techniques, 2nd ed., Morgan Kaufmann Publishers, 2006, by Jiawei Han and Micheline Kamber Data Mining: Concepts, Models, Methods, and Algorithms, IEEE press, 2003, by Mehmed Kantardzic Paper Readings

Office Hours
地點
MB305
時間
Tuesday Pm 5:30 ~ 6:30
聯絡方式
dliu@iim.nctu.edu.tw