DDS_202: Data Mining and Data Warehousing

Topic outline

• 

  General

  • Announcements Forum
• 

  Introduction

  • Intrduction to Data Minining URL

    Introduction to Data Mining and Knowledge Discovery
    

  • Types and Data and their Visualization URL
  • Types of Data Mining URL
• 

  Regression Analysis

  • Simple Linear Regression Page
  • Multiple Linear Regression Page

    Multiple independent attributes

  • Logistic Regression Page

    Dependent variable is Discrete/ Qualititative variable

• 

  Association Rule Mining

  • Support and Confidence, APRIORI Principle URL

    Code: https://www.dropbox.com/scl/fi/c2sk91rz0npb2pdemgh6z/Apriori.Rmd?rlkey=9mclljeyqdpf8a678acopx3xt&dl=0

  • Lift and Coverage URL
  • Conjoint Analysis Page

    PPT, Code and Data

• 

  Clustering Basics

  • Introduction to clustering URL
  • Similarity Index URL
• 

  Partition based Clusterings

  • k-Means Clustering Page

    Find 'k' numbers (user defined) of clusters with random seed selection.
    

    • Focus on Advantages and Disadvantages
    • Convergence criteria
    • Method

     

  • E-commerce customer data Assignment

    Consider the attached e-commerce data. Cluster the customers and visualize them. Change the cluster numbers and comment on your observations. 

  • More on k-Means clustering Page

    • Image segmentation using k-means clustering

    
    
  • Image segmentation Assignment