Virtual University

Which Patterns Are Interesting?—Pattern Evaluation Methods: interest Measure (V-U)

Web search Strategies (V-U)

Why Preprocess the Data: Introduction (V-U)

Web Structure Mining (V-U)

Why Preprocess the Data: Major Tasks in Data Preprocessing (V-U)

Web Usage Mining Phases (V-U)

Why Preprocess the Data: Multi-Dimensional Measure of Data Quality (V-U)

WEKA Attributes (V-U)

Why Preprocess the Data: Why Is Data Dirty? (V-U)

WEKA Classifier (V-U)

Word normalization (V-U)

WEKA Classifier Results (V-U)

Chi-Square Test, p-value & Latest Definition of Statistics (V-U)

Analysis of Variance & Experimental Design (V-U)

Application of Addition Theorem,Conditional Probability & Multiplication Theorem (V-U)

Bayes’ Theorem,Discrete Random Variable (V-U)

Binomial Distribution,Introduction to the Hypergeometric Distribution (V-U)

Box and Whisker Plot,Pearson’s Coefficient of Skewness (V-U)

Chebychev’s Inequality & Concept of Continuous Probability Distribution (V-U)

ADT and Stack (V-U)

Chebychev’s Inequality,The Empirical Rule & The Five-Number Summary (V-U)

Large Sample Confidence Intervals,Determination of Sample Size & Hypothesis-Testing (V-U)

Applications of Hashing (V-U)

Confidence Interval (V-U)

Mean Deviation,Standard Deviation and Variance & Coefficient of variation (V-U)