Data Mining with R

Sources of methods

• Artificial intelligence
• Machine learning
• Statistics
• Sources of data

• Data Import/Export
• Data Exploration and Visualization
• Dimensionality Reduction
• Dealing with missing values
• R Packages

• Automatic or semi-automatic analysis of large quantities of data
• Extracting previously unknown interesting patterns
  • groups of data records (cluster analysis)
  • unusual records (anomaly detection)
  • dependencies (association rule mining)

• Anomaly detection (Outlier/change/deviation detection)
• Association rule learning (Dependency modeling)
• Clustering
• Classification
• Regression
• Summarization
• Frequent Pattern Mining
• Text Mining
• Decision Trees
• Regression
• Neural Networks
• Sequence Mining
• Frequent Pattern Mining

Data dredging, data fishing, data snooping