Data Ware Housing and Data Mining - IT6702

Online Study Material, Lecturing Notes, Assignment, Reference, Wiki and important questions and answers

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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