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Data Warehousing & Data Mining : Express Learning

✍ Scribed by ITL Education Solutions Limited

Publisher
Dorling Kindersley
Year
2012
Tongue
English
Leaves
271
Category
Library
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✦ Table of Contents

Cover
Contents
Preface
Chapter 1: Introduction to Data Warehouse
For Using the Data Warehouse
For Building the Data Warehouse
For Administering the Data Warehouse
Business Metadata
Technical Metadata
Reporting and Managed Query Tools
OLAP Tools
Application Development Tools
Data Mining Tools
Data Visualization Tools
First Generation Client/Server Model
Second Generation Client/Server Model
Multiple Choice Questions
Answers
Chapter 2: Building a Data Warehouse
Business Considerations
Design Considerations
Technical Considerations
Implementation Considerations
Data Partitioning
Data Clustering
Parallel Processing
Summary Levels
Multiple Choice Questions
Answers
Chapter 3: Data Warehouse: Architecture
Compute Cube Operator
Partial Materialization
Star Schema
Snowflake Schema
Fact Constellation Schema
Multiple Choice Questions
Answers
Chapter 4: OLAP Technology
MOLAP Architecture
Data Design and Preparation
Administration
Performance
OLAP Platforms
OLAP Tools and Products
Implementation Steps
Indexing OLAP Data
Processing of OLAP queries
Multiple Choice Questions
Answers
Chapter 5: Introduction to Data Mining
Class/Concept Description
Mining Frequent Patterns, Associations and Correlations
Classification and Prediction
Cluster Analysis
Outlier Analysis
Evolution Analysis
On the Basis of Prediction/Description
On the Basis of Automatic/Manual Mining of Data
Multiple Choice Questions
Answers
Chapter 6: Data Preprocessing
Wavelet Transforms
Principal Components Analysis (PCA)
Regression
Log-Linear Models
Histograms
Clustering
Sampling
Input
Output
Procedure
Explanation
Multiple Choice Questions
Answers
Chapter 7: Mining Association Rules
Generalized Association Rules
Multi-level Association Rules
Multidimensional Association Rules
Multiple Choice Questions
Answers
Chapter 8: Classification and Prediction
Naive Bayesian
Bayesian Belief Network
Linear Regression
Non-linear Regression
Bagging
Boosting
Multiple Choice Questions
Answers
Chapter 9: Cluster Analysis
Statistical Distribution-based Outlier Detection
Distance-based Outlier Detection
Density-based Local Outlier Detection
Deviation-based Outlier Detection
Multiple Choice Questions
Answers
Chapter 10: Advanced Techniques of Data Mining and Its Applications
Financial Data Analysis
Retail Industry
Intrusion Detection
Telecommunication Industry
Multiple Choice Questions
Answers
Index

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