Data Ware Housing and Data Mining - IT6702

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Data Ware Housing and Data Mining

Data Ware Housing and Data Mining



DATA WAREHOUSING


Data Warehouse Introduction
Building a Data warehouse
Mapping the data warehouse architecture to Multiprocessor architecture
DBMS Schemas for Decision Support
Data extraction, clean up and transformation
Metadata
Important Short Questions and Answers: Data Warehousing

BUSINESS ANALYSIS


Reporting and Query Tools and Applications
Need For Applications - Data Warehousing
Cognous Impromptu
OLAP and Need
Multidimensional Data Model
OLAP Guidelines
Categories of OLAP Tools
OLAP Tools And The Internet
Important Short Questions and Answers: Data Warehousing Business Analysis

DATA MINING


Data Mining
Data
Data Mining - On What Kind of Data? ( Types of Data )
Data Mining Functionalities - What Kinds of Patterns Can Be Mined?
Interestingness of Patterns
Classification of Data Mining Systems
Integration of a Data Mining System with a Database or Data Warehouse System
Data mining primitives
Major Issues in Data Mining
Data Preprocessing
Important Short Questions and Answers : Data Mining

ASSOCIATION RULE MINING AND CLASSIFICATION


Frequent Itemsets, Closed Itemsets, and Association Rules
Mining Methods
Mining Various Kinds of Association Rules
Association Mining to Correlation Analysis
Constraint-Based Association Mining
Classification and Prediction
Classification by Decision Tree Induction
Bayesian Classification
Rule Based Classification
Classification by Backpropagation
SVM - Support Vector Machines
Associative Classification
Lazy Learners (or Learning from Your Neighbors)
Other Classification Methods
Prediction
Important Short Questions and Answers : Association Rule Mining and Classification

CLUSTERING AND TRENDS IN DATA MINING


Type of Data in Clustering Analysis
Categorization of Major Clustering Methods
Outlier Analysis
Data Mining Applications
Important Short Questions and Answers : Clustering and Applications and Trends in Data Mining



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