WPI Worcester Polytechnic Institute

Computer Science Department
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CS548 Knowledge Discovery and Data Mining 
Schedule of Classes - Fall 2016

PROF. CAROLINA RUIZ 

WARNING: Changes to this schedule may be made during the course of the semester. 
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WEEK DATE DUE TOPIC READINGS
Tan, Steinbach, Kumar's Textbook
1 Aug. 30 & Sept. 1   Introduction to KDD & Data Mining
Data & Data Preparation
  • Concepts, instances, attributes
  • Data preprocessing
  • Attribute selection
  •   Chp. 1, 2
    2 Sept. 6 & 8   Data & Data Preparation (cont.)
  • Data integration
  • Data warehousing & OLAP
  • Dimensionality reduction
  • Visualization
  •   Chp. 3, Appendix B.1
    3 Sept. 13 & 15 Project 1 Mining process
  • Training and Testing
  • Cross validation
  • Performance evaluation
    Project 1 discussion and Test 1
  •   Sect. 4.5
    4 Sept. 20 & 22   Classification
  • Decision trees
    Showcase: Decision Trees
  •   Sect. 4.1-4.4.
    5 Sept. 27 & 29   Numeric Predictions
  • linear regression
  • model trees
  • regression trees
    Showcase: Model and Regression Trees
  •   Appendix D, and
    all numeric prediction materials on Ruiz' lecture notes
    6 Oct. 4 & 6   Association Analysis
  • association rules
    Showcase: Association Rules
  •   Sec. 6.1-6.3, 6.7-6.9.
    7 Oct. 11 & 13 Project 2 Association Analysis (cont.)
  • association rules
    Project 2 discussion and Test 2
  •   Chp. 6
      Oct. 18 & 20   Semester Break  
    8 Oct. 25 & 27   Cluster Analysis
  • partitioning methods
  • hierarchical methods
  • density-based methods
    Showcase: Clustering
  •   Chp. 8
    9 Nov. 1 & 3 Project 3 Cluster Analysis (cont.)
  • grid-based methods
  • model-based methods
    Project 3 discussion and Test 3
  •   Chp. 8
    10 Nov. 8 & 10   Anomaly Detection
  • model-based methods
  • proximity-based methods
  • density-based methods
    Showcase: Anomaly Detection
  •   Chp. 10
    11 Nov. 15 & 17 Project 4 Advanced topics
  • Text mining
  • Visualization
    Showcase: Text Mining
    Project 4 discussion and Test 4
  •   Sect. 3.3.
    all visualization materials on Ruiz' lecture notes
    text mining materials marked with ** on Ruiz' lecture notes
    12 Nov. 29 & Dec. 1   Advanced topics (cont.)
  • Sequence mining
  • Multimedia data mining
    Showcase: Sequence Mining
  •   Sect. 7.4
    13 Dec. 6 & 8 Project 5 Advanced topics (cont.)
  • Web mining
  • Industrial applications of data mining
  • Scientific applications of data mining
    Showcase: Web Mining
    Project 5 presentations and Test 5
  •   all web mining materials on Ruiz' lecture notes
    14 Dec. 13 & 15   Project 5 presentations and discussion (cont.)