Data Mining, Clustering - Data Warehousing - Lecture Slides, Slides of Data Warehousing

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Data Warehousing

Lecture-

What can Data Mining do?

CLASSIFICATION

PREDICTION

MARKET BASKET ANALYSIS

Discovering Association Rules 5 Cola, Diaper, Milk 4 Juice, Bread, Diaper, Milk 3 Juice, Cola, Diaper, Milk 2 Juice, Bread 1 Bread, Cola, Milk TID Items

Rules:

{Milk}  {Cola}

{Diaper, Milk}  {Juice}

CLUSTERING Task of segmenting a heterogeneous population into a number of more homogenous sub-groups or clusters.

Ambiguity in Clustering

How many clusters?

Two clusters

Four clusters

Six clusters

DESCRIPTION

Where does Data Mining fits in?

Data

Preprocessing

• Selection
• Cleaning
• Transformation
• Feature Extraction Knowledge

Data Mining

• Identify Patterns
• Generate Models

Interpretation/

Evaluation

• Validation Tests
• Visualization

Data Mining is one step of

Knowledge Discovery in

Databases (KDD)