Data Mining (406.429): Fall 2015

Notice: 데이터마이닝 수업 게시판입니다.
  • 공지사항은 ETL 참고
  • Midterm, Final, Quiz & HW Grade(Updated: 12/11)
  • Important dates:
    • Term Project Proposal PPT Submission Due: 10/21 06:00 AM
    • Term Project Team Formation: 10/23 15:30
    1. Instructor
    2. Prof. Sungzoon Cho  (zoon at snu.ac.kr) 

    3. Time and Place

    4. Texts

    5. Evaluation

    6. Teaching Assistant (TA)
    7. Jaewoong Shim  (shimjw at dm.snu.ac.kr)
      Han Kyul Kim  (hank at dm.snu.ac.kr)

    8. Course schedule(Subject to change) Syllabus
    9. Week

      Topic

      Reading Assignment
      (* Quiz)

      1

      9/2

      Admin, DM 소개

       

      9/7

      Overview of DM Process

      Ch 1 and 2, E:The data deluge

      2

      9/9

      Data Visualization, Dimension Reduction

      자기 소개서, Ch 3, Ch 4, quiz(only covers Ch 4)*

      9/14

      Spotfire 실습

      3

      9/16

      Evaluating Classification and Predictive Performance, Multiple Linear Regression

      Ch 5, Ch 6, quiz*

      9/21

      Logistic Regression

      Ch 10, quiz*

      4

      9/23

      R 실습

      HW: 카탈로그구매반응

      9/28

      추석 공휴일 휴강

      5

      9/30

      반응 모델링 review

      Ch 18.5

      10/5

      Cluster Analysis

      Ch 14, quiz*

      6

      10/7

      R 추가자료 및 Weka 소개

      HW: 비누고객 사례

      10/12

      Problem Solving Steps

      7

      10/14

      Proposal 예시, Formulation 연습, Market Segmentation Review

      10/19

      Formulation 연습

      8

      10/21

      Term Project Proposal

       

      10/26

      자율 학습

       

      9

      10/28

      자율 학습

      11/2

      Exam 1

      10

      11/4

      K-nearest neighbors, Naive Bayes

      Ch 7, Ch 8, quiz*

      11/9

      Association Rules, A priori property

      Ch 13, A priori property

      11

      11/11

      Classification and Reg trees Progress Report 예시

      Ch 9, quiz*

      11/16

      Term Project Progress Report Presentation

      12

      11/18

      Term Project Progress Report Presentation

      11/23

      Neural Network Part 1 Neural Network Part 2

      Ch. 10

      13

      11/25

      Neural Network

      Ch 11, quiz*

      11/30

      Neural Network

      14

      12/2

      Ensemble Learning, Bias-Variance

      12/7

      조직 및 역할 & Big Data

      별도 자료

      15

      12/9

      Exam 2

      12/14

      Term Project Final Presentation

      16

      12/16

      Term Project Final Presentation

      * Quiz는 reading assignment의 범위 내에서 출제됩니다. 문제는 italic & bold-face text, figures 그리고 equations에서 주로 출제.
      ** Delay penalty: 20% off (same day), 50% (next day) and 100% (after that)