Data Mining (V-U)

Frequent Item set Mining Methods: Mining Close Frequent Patterns and Max patterns (V-U)

Gain ratio (V-U)

Gini index (V-U)

Grid based clustering (V-U)

Grid-Based Methods:Comments on STING (V-U)

Grid-Based Methods:WaveCluster: Clustering by Wavelet Analysis (1998) (V-U)

Hierarchical Methods: AGNES (Agglomerative Nesting) (V-U)

Hierarchical Methods: Introduction (V-U)

Hierarchical Methods:DIANA (Divisive Analysis) (V-U)

Information Extraction (V-U)

Information gain (V-U)

Information Retrieval (V-U)

Introduction to rain forest (V-U)

Introduction, Motivation & Science Evolution History (V-U)

Introduction: A Multi-Dimensional View of Data Mining (V-U)

Introduction: Major Challenges& Issues in Data Mining (V-U)

Introduction: Patterns to mine (V-U)

Introduction: What Is Data Mining? (V-U)

Introduction: What Kind of Applications Are Targeted? (V-U)

Introduction: What Kind of Data Can Be Mined? (V-U)

Introduction: What Technology Are Used in data mining? (V-U)

Language model (V-U)

LM example (V-U)

Market basket analysis and its usages (V-U)

Measuring Data Similarity and Dissimilarity: Attributes of Mixed Type (V-U)