Virtual University

Basic Statistical Descriptions of Data: Box plot Analysis (V-U)

Classification by Back propagation: Neural Network as a Classifier (V-U)

Basic Statistical Descriptions of Data: Graphic Displays of Basic Statistical Descriptions using Histogram (V-U)

Classification issues (V-U)

Basic Statistical Descriptions of Data: Graphic Displays of Basic Statistical Descriptions using Quantile Plot (V-U)

Clustering data measures (V-U)

Basic Statistical Descriptions of Data: Graphic Displays of Basic Statistical Descriptions using Scatter plot (V-U)

Clustering High-Dimensional Data: CLIQUE (V-U)

Clustering High-Dimensional Data: Introduction (V-U)

Basic Statistical Descriptions of Data: Introduction (V-U)

Clustering High-Dimensional Data: The Curse of Dimensionality (V-U)

Clustering High-Dimensional Data:Why Subspace Clustering? (V-U)

Clustering matrixes (V-U)

Comparing classification methods (V-U)

Concept Hierarchy and its type (V-U)

Cyber Community (V-U)

Cyber Community Types (V-U)

Data Cleaning: How to Handle Noisy data using Binning (V-U)

Data Cleaning: How to Handle Noisy data using Regression and Cluster Analysis (V-U)

Data Cleaning: Introduction (V-U)

Data Cleaning: Missing Data (V-U)

Data Cleaning: Noisy Data (V-U)

Data for cluster analysis (V-U)

Data integration and transformation: Co relation analysis Example (V-U)

Data integration and transformation: Data Transformation methods (V-U)