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  1. Principle Component Analysis (PCA)Reports & Slides
  2. Decision Trees Prsentation Slides & Report
  3. Lec12 [Clustering,Partioning Centeriod Method, ]
  4. Lec11 [Clustering, Distance Measure]
  5. Lecture 8-10 Data Mining Concepts and Techniques Complete lecture
  6. Lecture# 6 Dataware House Design
  7. ETL (Extraction, Transformation and Load) Continue lecture 4 and 5
  8. Lec 7 Data Mining Concepts and Techniques
  9. Lect4 ETL (Extraction, Transformation and Load) Lecture 4 slides
  10. A layman's introduction to principal component analysis
  11. Example of Principal Component Analysis (PCA)
  12. How to do Pricipal Component Analysis (PCA)
  13. What is Principal Component Analysis (PCA)
  14. Data Warehouse & Data Mining Mid Term paper BSIT 7th Sir Maruf Pasha
  15. Book: Data Mining Concepts and Techniques by Jiawei Han and Micheline Kamber 1st edition 1999
  16. [ppt] Chapter 3 - Data Preparation - Data Mining Concepts and Techniques Han and Kamber
  17. [PPT] Chapter 2. Data Warehouse and OLAP Technology for Data Mini - Data Mining Concepts and Techniques Han and Kamber
  18. Book: Data Mining Concepts and Techniques by Han and Kamber second edition
  19. Dataware Housing & data mining; Lect 2_bit [Compatibility Mode]
  20. Dataware Housing & data mining; Lect 1_bit [Compatibility Mode]