 课程大纲:
        
    课程大纲:                    Data Mining with R培训
      
Sources of methods
        Artificial intelligence
        Machine learning
        Statistics
        Sources of data
        Pre processing of data
        Data Import/Export
        Data Exploration and Visualization
        Dimensionality Reduction
        Dealing with missing values
        R Packages
        Data mining main tasks
        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)
        Data 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
 
     
     
         
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