Data Mining Training - United Kingdom

Data Mining Training​ Course Outline

Getting Started with Data Mining

• What is Data Mining?
• What Kinds of Data Can Be Mined?
• Data Objects and Attribute Types
• Data Visualisation
• Measuring Data Similarity and Dissimilarity

Data Preprocessing

• Data Cleaning and Data Integration
• Data Reduction
• Data Transformation and Data Discretization

Data Warehousing and Online Analytical Processing

• Basic Concepts of Data Warehousing
• Data Cube and OLAP
• Design, Usage, and Implementation of Data Warehouse

Data Cube

• Preliminary Concepts
• Data Cube Computation Methods
• Multidimensional Data Analysis in Cube Space

Mining Frequent Patterns, Associations, and Correlations

• Frequent Itemset Mining Methods
• Pattern Evaluation Methods

Advanced Pattern Mining

• Pattern Mining in Multilevel and Multidimensional Space
• Constraint-Based Frequent Pattern Mining
• Mining High-Dimensional Data and Colossal Patterns
• Mining Compressed or Approximate Patterns
• Pattern Exploration and Application

Classification

• What is Classification?
• Decision Tree Induction
• Bayes Classification Methods
• Rule-Based Classification
• Model Evaluation and Selection

Advanced Methods of Classification

• Bayesian Belief Networks
• Backpropagation
• Classification Using Frequent Patterns
• Lazy Learners
• Genetic Algorithms, Rough Set Approach, and Fuzzy Set Approaches

Cluster Analysis

• What is Cluster Analysis?
• Partitioning and Hierarchical Methods
• Density-Based and Grid-Based Methods

Advanced Cluster Analysis

• Probabilistic Model-Based Clustering
• Clustering High-Dimensional and Graph Data
• Clustering with Constraints

Outlier Detection

• Outlier Analysis
• Outlier Detection Methods
• Statistical and Proximity-Based Approaches
• Clustering-Based and Classification-Based Approaches
• Outlier Detection in High-Dimensional Data