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UNIT-IV (Data Reduction (Overview, wavelet transforms, Principle…
UNIT-IV
Data Preprocessing
Overview
Data cleaning
Data Integration
Data Reduction
Data Transformation
Data cleaning
Missing Values
Noisy data
Data cleaning as a process
Data Integration
Entity identification problem
Redundancy and Correlation Analysis
Tuple duplication
Data value conflict detection and Resolution
Data Reduction
Overview
wavelet transforms
Principle components Analysis
Attribute subset selection
Regression and log-linear models
Histograms
clustering
sampling
Data cube Aggregation
Data Transformation
Data Discretization by Binning
Discretization by Histogram Analysis
Discretization by cluster
Decision Tree
correlation Analysis
concept Hierarchy generation for Nominal data