BI Assignment 4

Chapter 4 Slides

Opening Example /Data Mining Concepts

 Opening Vignette

 Miami-Dade Police Dept.

 Data Mining concepts

 discovering or “mining” knowledge from large amounts of data.

Data mining applications

 Customer service

 Banking

 Retailing and logistics

 Manufacturing and production

 Brokerage

 Insurance

 Government and defense

 Travel

 Healthcare

Data mining process

 CRISP-DM SEMMA

Data Mining Methods

 Classification

 Estimating the True Accuracy of Classification Models

Classification Techniques

Decision tree analysis.

Statistical analysis.

Neural networks.

Case-based reasoning.

Bayesian classifiers.

Genetic algorithms.

Rough sets.

Data Mining software tools

Data mining privacy issues, myths, and blunders  Target Story

Wrap Up

 Review the Chapter highlights

 Review the key terms

 Complete the weekly homework