Data Ware Housing and Data Mining - CS8075

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Data Ware Housing and Data Mining

Data Ware Housing and Data Mining



UNIT I : DATA WAREHOUSING and BUSINESS ANALYSIS AND ON LINE ANALYTICAL PROCESSING (OLAP)


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
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

UNIT II : DATA MINING INTRODUCTION


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

UNIT III : DATA MINING FREQUENT PATTERN ANALYSIS

UNIT IV : CLASSIFICATION AND CLUSTERING

UNIT V : WEKA TOOL

Notes


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
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
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
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
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

CS8075 Data Ware Housing and Data Mining - Anna University 2017 Regulation Syllabus - Download Pdf
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