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Data Ware Housing and Data Mining
Practical project ideas and implementations for hands-on learning
ASSOCIATION RULE MINING AND CLASSIFICATION
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
BUSINESS ANALYSIS
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
CLUSTERING AND TRENDS IN DATA MINING
Categorization of Major Clustering Methods
Data Mining Applications
Outlier Analysis
Type of Data in Clustering Analysis
DATA MINING
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
DATA WAREHOUSING
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