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Data Ware Housing and Data Mining

Practical project ideas and implementations for hands-on learning

Association Mining to Correlation Analysis

Associative Classification

Bayesian Classification

Classification and Prediction

Classification by Backpropagation

Classification by Decision Tree Induction

Constraint-Based Association Mining

Frequent Itemsets, Closed Itemsets, and Association Rules

Lazy Learners (Learning from Your Neighbors)

Mining Methods

Mining Various Kinds of Association Rules

Other Classification Methods

Prediction

Rule-Based Classification

SVM - Support Vector Machines

Categories of OLAP Tools

Cognos Impromptu

Multidimensional Data Model

Need for Applications - Data Warehousing

OLAP and Need

OLAP Guidelines

OLAP Tools and the Internet

Reporting and Query Tools and Applications

Categorization of Major Clustering Methods

Data Mining Applications

Outlier Analysis

Type of Data in Clustering Analysis

Classification of Data Mining Systems

Data

Data Mining

Data Mining - On What Kind of Data? (Types of Data)

Data Mining Functionalities - What Kinds of Patterns Can Be Mined?

Data Mining Primitives

Data Preprocessing

Integration of a Data Mining System with a Database or Data Warehouse System

Interestingness of Patterns

Major Issues in Data Mining

Building a Data Warehouse

Data Extraction, Clean Up and Transformation

Data Warehouse Introduction

DBMS Schemas for Decision Support

Mapping the Data Warehouse Architecture to Multiprocessor Architecture

Metadata