DMCT-NOTES/unit 1/00_Index.md

Unit 1: Introduction to Data Mining

Welcome to your simplified notes for Unit 1.

Table of Contents

1. 01_Introduction_to_Data_Mining
   • What is Data Mining?
   • The DIKW Pyramid (Data, Information, Knowledge, Wisdom)
2. 02_Data_Mining_Process
   • Steps from Goal Definition to Deployment
   • Issues in Data Mining (Privacy, Scalability)
3. 03_Data_Mining_Techniques
   • Predictive vs Descriptive Mining
   • Classification, Regression, Clustering, Association Rules
4. 04_Data_Preprocessing
   • Why do we need it?
   • Cleaning, Integration, Reduction, Transformation
5. 05_Data_Processing_Methods
   • Manual vs Electronic
   • Batch, Real-time, Online Processing
6. 06_Data_Discretization
   • Binning, Histograms
   • Concept Hierarchy