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Computer Sotware and Inormation Technology Engineering CSE IT

Data Ware Housing and Data Mining - IT6702

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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