Data Mining Course

Dr. Gregory Piatetsky-Shapiro KDnuggets

Prof. Gary Parker Connecticut College

Introductions

Course materials

• Syllabus
• Detailed Course Outline
• Course Notes (PDF, 59 pages, 492KB)
  KDnuggets.com/data_mining_course/course_notes.pdf
  Please be patient and wait for the entire file to load !
• References

Data Mining Course Modules

• DM1: Introduction: Machine Learning and Data Mining, updated May 31, 2006.
    dm1-introduction-ml-data-mining.ppt
• DM2: Machine Learning and Classification, updated June 7, 2006.
    dm2-intro-machine-learning-classification.ppt
• DM3: Input: Concepts, Instances, Attributes.
    dm3-input-concepts.ppt
• DM4: Output: Knowledge Representation, updated June 7, 2006.
    dm4-output-representation.ppt
• DM5: Classification - Basic Methods.
    dm5-classification-basic.ppt
• DM6: DM6: Classification: Decision Trees.
    dm6-decision-tree-intro.ppt
• DM7: Classification: C4.5.
    dm7-decision-tree-c45.ppt
• DM8: Classification: CART.
    dm8-decision-tree-cart.ppt
• DM9: Classification: Rules, Regression, K-Nearest Neighbour.
    dm9-rules-regression-knn.ppt
• DM10: Evaluation and Credibility, updated May 31, 2006.
    dm10-evaluation.ppt
• DM11: Evaluation - Lift and Costs, updated May 31, 2006.
    dm11-evaluation-lift-cost.ppt
• DM12: Data Preparation for Knowledge Discovery, updated June 7, 2006.
    dm12-data-preparation.ppt
• DM13: Clustering, updated May 31, 2006.
    dm13-clustering.ppt
• DM14: Associations Rules, updated May 31, 2006.
    dm14-association-rules.ppt
• DM15: Data Mining and Visualization, (3.2MB), updated May 31, 2006.
    dm15-visualization-data-mining.ppt
• DM16: Summarization and Deviation Detection.
    dm16-summarization-deviation-detection.ppt
• DM17: Applications: Targeted Marketing, KDD Cup, and Customer Modeling, updated Oct 18, 2004.
    dm17-targeted-marketing-kdd-cup.ppt
• DM18: Applications: Genomic Microarray Data Mining.
    dm18-microarray-data-mining.ppt
• DM19: Data Mining and Society; Future Directions
    dm19-data-mining-and-society.ppt

Assignments, Mid-term Quiz, and Final Exam

Datasets

Additional Publications

• KEFIR Summarization system for health-care data:
  sample HTML report and
  KEFIR book chapter (PDF, 357KB, 19 pages),
    kefir/kefir-chapter.pdf
  Used in module 16.
  
• Capturing Best Practice for Microarray Gene Expression Data Analysis (PDF, 850KB, 9 pages), G. Piatetsky-Shapiro, T. Khabaza, S. Ramaswamy, KDD-03 Conference. Used in Module 18 and in final project.
    microarray-best-practice.pdf

Additional Lectures

• Introductory Data Mining Tutorial, (90 slides).
    data-mining-tutorial.ppt
  
• Introduction to Data Mining (notes) a 30-minute unit, appropriate for a "Introduction to Computer Science" or a similar course.
    x1-intro-to-data-mining.ppt
  
• Data Mining Module for a course on Artificial Intelligence: Decision Trees, appropriate for one or two classes. (See Data Mining course notes for Decision Tree modules.)
    x2-data-mining-for-ai.ppt
  
• Data Mining Module for a course on Algorithms: Decision Trees, appropriate for one or two classes. See also data mining algorithms introduction and Data Mining Course notes (Decision Tree modules).
    x3-algorithms-decision-trees.ppt
  
• From Data Mining to Knowledge Discovery: an Introduction, Connecticut College, Oct 2003.
    x4-data-mining-to-knowledge-discovery.ppt
  
• Data Mining in Genomics: The Dawn of Personalized Medicine, Connecticut College, Oct 2003.
    x5-data-mining-in-genomics.ppt

How to get all this on a CD

Acknowledgments and Funding

People involved in the course

Acknowledgments and Thanks

See also