1. Elements of Branding
Product Differentiation
Relevance
Perceived Value

2. Data cleaning
Data integration
Data selection
Data transformation
Data mining
Pattern evaluation
Knowledge presentation

3. Client
Data source in Karachi
Clean
Transform
Integrate
Load
Data
warehouse
Query and
Analysis tools
Data source in Lahore
Data source in Islamabad
Client
Data source in Faisalabad

4. Evaluation and Presentation
Knowledge
Data Mining
Patterns
Selection and Transformation
Data
Warehouse
Cleaning and Integration
Databases

5. Types of Data Mining Classification Association Characterization
Clustering

6. Education : Matric or Below Marital Status : unmarried
Training Data Test Data
M 55% 56%
F 45% 44%
Age >=20<=25 years
Location : rural area
M 60% 59%
F 40% 41%
M 40% 39%
F 60% 61%
Education : Matric or Below
Marital Status : unmarried
M 62% 64%
F 38% 36%
M 35% 36%
F 65% 64%
Annual Income < one lac
M 65% 66%
F 35% 34%

7. Efficiency = actual/theoretical*100
= 50/66*100= %

8. Confidence = Transactions (eggs+milk)
Transactions (eggs or milk or both)
e.g, 25/75*100=33.3%
Support = Transactions (eggs+milk)
Total no. of transactions
e.g, 10/50*100 = 20%