Data Mining and Information Retrieval
  • 2014 Spring Semester Course
  • Instructor: Prof. Byoung-Tak Zhang
  • TAs: Ha-Young Jang & Beom-Jin Lee
  • Classroom: 302-209, 302-311-1
  • Time: Tue & Thu, 2:00 pm - 3:15pm
  • Objectives
    • To review recent developments in web search, knowledge discovery, business intelligence, and recommender  systems
    • To study technical tools for data mining and information retrieval for building smart services based on web- based and mobile devices
    • To learn analytics algorithms for classification, regression, clustering, anomaly detection, collaborative filtering,  network analysis, and time series analysis
    • To get future perspectives on intelligent services based on IoT, cloud computing, wearable smart devices, social  media, and big data
  • Text
    1. Recommender Systems: An Introduction, Jannach, Zanker, Felfernig, and Friedrich, 2010.
  • Reference
    • Materials will be provided in the classes
  • Evaluation
    • Two exams (50%)
    • Two miniprojects (30%)
    • Project presentation (10%)
    • Participation in discussion (10%)
  • • Projects  
    • Project 1: Movie recommendation
    • Project 2: Text mining
  • Announcement  

  • Lecture Schedule
  • Week Topics Presenter Slides
    Week 1 3/4 Search, mining, and recommendation   DL
    3/6 Data mining 1   DL
    Week 2 3/11 Data mining 2   DL
    3/13 Mining tools 1
    Project 1 announced
    TA DL
    Week 3 3/18 Data mining 3   DL
    3/20 Mining tools 2 TA  
    Week 4 3/25 Mining tools 3 TA  
    3/27 Mining tools 4 TA  
    Week 5 4/1 Recommender systems   DL
    4/3 Collaborative filtering   DL
    Week 6 4/8 Clickstream analysis   DL
    4/10 Big Data(엔지니어하우스 대강당)   DL
    Week 7 4/15 Social network mining   1 2
    4/17 Exam 1
    Due of project report 1
       
    Week 8 4/22 Web search engines   1 2
    4/24 Information retrieval 1
    Project 2 announced
    TA PRJ
    Week 9 4/29 Information retrieval 2 TA  
    5/1 Information retrieval 3 TA  
    Week 10 5/6 Buda's Birthday    
    5/8 Image retrieval and mining   DL
    Week 11 5/13 Video retrieval and mining   DL
    5/15 Spoken document retrieval   DL
    Week 12 5/20 Music information retrieval   DL
    5/22 Mobile search and mining   DL
    Week 13 5/27 Wearable search and mining   DL
    5/29 Project Preparation    
    Week 14 6/3 Project presentation Preparation    
    6/5 Project presentation 1,2   DL
    Week 15 6/10 Exam 2    
    6/12 Due of project report 2      
This page is maintained by Beom Jin Lee
Last update: 2014.3.01.