Data Ware Housing and Data Mining [CSE Department]

Data Ware Housing and Data Mining [CSE Department]

Data Ware Housing and Data Mining

DATA WAREHOUSING

1. Data Warehouse Introduction
2. Building a Data warehouse
3. Mapping the data warehouse architecture to Multiprocessor architecture
4. DBMS Schemas for Decision Support
5. Data extraction, clean up and transformation
6. Metadata
7. Important Short Questions and Answers: Data Warehousing

BUSINESS ANALYSIS

1. Reporting and Query Tools and Applications
2. Need For Applications - Data Warehousing
3. Cognous Impromptu
4. OLAP and Need
5. Multidimensional Data Model
6. OLAP Guidelines
7. Categories of OLAP Tools
8. OLAP Tools And The Internet
9. Important Short Questions and Answers: Data Warehousing Business Analysis

DATA MINING

1. Data Mining
2. Data
3. Data Mining - On What Kind of Data? ( Types of Data )
4. Data Mining Functionalities - What Kinds of Patterns Can Be Mined?
5. Interestingness of Patterns
6. Classification of Data Mining Systems
7. Integration of a Data Mining System with a Database or Data Warehouse System
8. Data mining primitives
9. Major Issues in Data Mining
10. Data Preprocessing
11. Important Short Questions and Answers : Data Mining

ASSOCIATION RULE MINING AND CLASSIFICATION

1. Frequent Itemsets, Closed Itemsets, and Association Rules
2. Mining Methods
3. Mining Various Kinds of Association Rules
4. Association Mining to Correlation Analysis
5. Constraint-Based Association Mining
6. Classification and Prediction
7. Classification by Decision Tree Induction
8. Bayesian Classification
9. Rule Based Classification
10. Classification by Backpropagation
11. SVM - Support Vector Machines
12. Associative Classification
13. Lazy Learners (or Learning from Your Neighbors)
14. Other Classification Methods
15. Prediction
16. Important Short Questions and Answers : Association Rule Mining and Classification

CLUSTERING AND TRENDS IN DATA MINING

1. Type of Data in Clustering Analysis
2. Categorization of Major Clustering Methods
3. Outlier Analysis
4. Data Mining Applications
5. Important Short Questions and Answers : Clustering and Applications and Trends in Data Mining