Data Mining (V-U)

• Introduction, Motivation & Science Evolution History (V-U)
• Introduction: What Is Data Mining? (V-U)
• Introduction: A Multi-Dimensional View of Data Mining (V-U)
• Introduction: What Kind of Data Can Be Mined? (V-U)
• Introduction: Patterns to mine (V-U)
• Introduction: What Technology Are Used in data mining? (V-U)
• Introduction: What Kind of Applications Are Targeted? (V-U)
• Introduction: Major Challenges& Issues in Data Mining (V-U)
• Data Objects and Attribute Types: Types of Data Sets (V-U)
• Data Objects and Attribute Types: Structured Data (V-U)
• Data Objects and Attribute Types: Data Objects (V-U)
• Data Objects and Attribute Types: Attributes (V-U)
• Data Objects and Attribute Types: Attribute Types (V-U)
• Data Objects and Attribute Types: Discrete vs. Continuous Attributes (V-U)
• Data Visualization: Introduction (V-U)
• Data Visualization: Pixel-Oriented Visualization Techniques (V-U)
• Basic Statistical Descriptions of Data: Introduction (V-U)
• Basic Statistical Descriptions of Data: Measuring the Central Tendency (V-U)
• Basic Statistical Descriptions of Data: Symmetric vs. Skewed Data (V-U)
• Basic Statistical Descriptions of Data: Measuring the Dispersion of Data (V-U)
• Basic Statistical Descriptions of Data: Box plot Analysis (V-U)
• Basic Statistical Descriptions of Data: Graphic Displays of Basic Statistical Descriptions using Histogram (V-U)
• Basic Statistical Descriptions of Data: Graphic Displays of Basic Statistical Descriptions using Quantile Plot (V-U)
• Basic Statistical Descriptions of Data: Graphic Displays of Basic Statistical Descriptions using Scatter plot (V-U)
• Data Visualization: Geometric Projection Visualization Techniques (V-U)