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Unit 4: Data Mining Classification
Sartaj Singh, Lovely Professional University
Unit 4: Data Mining Classification notes
contents
Objectives
Introduction
4.1 What is Classification and Prediction?
4.1.1 Classification
4.1.2 Prediction
4.2 Issues regarding Classification and Prediction
4.3 Statistical based Algorithms
4.4 Naive Bayesian Classification
4.5 Distance-based Algorithms
4.6 Distance Functions
4.7 Classification by Decision Tree
4.7.1 Basic Algorithm for Learning Decision Trees
4.7.2 Decision Tree Induction
4.7.3 Tree Pruning
4.7.4 Extracting Classification Rules from Decision Trees
4.8 Neural Network based Algorithms
4.9 Rule-based Algorithms
4.10 Combining Techniques
4.11 Summary
4.12 Keywords
4.13 Self Assessment
4.14 Review Questions
4.15 Further Readings
objectives
After studying this unit, you will be able to:
l z Describe the concept of data mining classification
l z Discuss basic knowledge of different classification techniques
l z Explain rule based algorithms
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