Science - Course - Data Mining And Knowledge Discovery

Data, information, knowledge, SEMMA , Statistical data mining , Machine learning, Predictive modeling, Variable selection , Neural Networks , Decision Trees , Cluster Analysis. Evaluation of Data Mining: Confusion Matrix ,ROC Graph, Cumulative Gains Chart and Lift, Data Cubes and Summarization, Itemsets: Support Measures, Apriori Itemset Generation, Share Measures, Support and Share Measures, Apriori Program, Dynamic Itemset. Mining the Data Stream, Temporal Data Mining, Web Data Mining, Knowledge application and management, Data and knowledge visualization – Text mining, Web mining.