Data Mining (406.429) : Fall 2012

  1. Instructor
  2. Prof. Sungzoon Cho  (zoonsnu.ac.kr) 
  3. Time and Place
  4. Texts
  5. Evaluation
  6. Teaching Assistants (TA)

  7. Course schedule 
  8. No. Date Topic Reading Assignment
    1 9/3 Introduction E:The data deluge
    9/5 Introduction, Overview of DM Process Ch 1 and 2
    2 9/10 데이터마이닝 사례 (3인 발표) N:1,2 E:Data, data everywhere, All too much, Needle in a haystack
    9/12 Data Visualization Ch 3 자기소개서 due
    3 9/17 Dimension Reduction Ch 4 Quiz 1 (Ch 4, 13)
    9/19 [Invited lecture] Introduction to Spotfire
    4 9/24 Association Rules Ch 13
    9/26 [No class] School festival
    5 10/1 [No class] Chuseok
    10/3 [No class] Foundation day
    6 10/8 Evaluating Classification and Predictive Performance Ch 5 Quiz 2 (Ch 5)
    10/10 (1) Multiple Linear Regression
    (2) 데이터마이닝 사례 (3인 발표)
    Ch 6
    N:3, 4 E:A different game, Clicking for gold
    7 10/15 (1) Cluster analysis
    (2) XLMiner
    Ch 14 Quiz 3 (Ch 14)
    10/17 Exam 1
    8 10/22 Term Project Proposal
    10/24 Term Project Proposal
    9 10/29 k-Nearest Neighbors, Naïve Bayes Ch 7, Ch 8 Quiz 4 (Ch 7, 8)
    10/31 Classification and Reg trees Ch 9 Quiz 5 (Ch 9)
    10 11/5 Classification and Reg trees
    11/7 데이터마이닝 사례 (3인 발표) N:5,6 E: The open society, Show me
    11 11/12 Logistic Regression Ch 10 Quiz 6 (Ch 10)
    11/14 Logistic Regression
    12 11/19 Neural Network Ch 11 Quiz 7 (Ch 11)
    11/21 Neural Network, R
    13 11/26 Term Project Progress Presentation
    11/28 Term Project Progress Presentation
    14 12/3 Exam 2
    12/5 데이터마이닝 사례 (3인 발표) N:7, 맺음말, E: New Rules for big data, Handling the cornucopia
    15 12/10 Term Project Final report
    12/12 Term Project Final report
    16 12/14 종강
  9. Board