UNIT - I Data Mining : Data - Types of Data - Data Mining Functionalities - Interestingness Patterns - Classification of Data Mining systems - Data mining Task primitives - Integration of Data mining system with a Data warehouse - Major issues in Data Mining - Data Preprocessing. (Chapter - 1) UNIT - II Association Rule Mining : Mining Frequent Patterns - Associations and correlations - Mining Methods - Mining Various kinds of Association Rules - Correlation Analysis - Constraint based Association mining. Graph Pattern Mining, SPM. (Chapter - 2) UNIT - III Classification : Classification and Prediction - Basic concepts - Decision tree induction - Bayesian classification, Rule - based classification, Lazy learner. (Chapter - 3) UNIT - IV Clustering and Applications : Cluster analysis - Types of Data in Cluster Analysis - Categorization of Major Clustering Methods - Partitioning Methods, Hierarchical Methods - Density - Based Methods, Grid -Based Methods, Outlier Analysis. (Chapter - 4) UNIT - V Advanced Concepts : Basic concepts in Mining data streams - Mining Time - series data - Mining sequence patterns in Transactional databases - Mining Object - Spatial - Multimedia - Text and Web data - Spatial Data mining - Multimedia Data mining - Text Mining - Mining the World Wide Web. (Chapter - 5)
