Concepts of Data Warehousing and Data Mining. Chapter 1 deals with Fundamentals of Data Mining Functionalities Classification of Data Mining systems and Data Mining Task Primitives. Chapter 2 is about Preprocessing Need for Preprocessing the Data Data Warehouse and OLAP Technology for Data Mining Data Warehouse and Multidimensional Data Model. Chapter 3 is focused on Mining Frequent Patterns Associations and Correlations Classification and Prediction- Issues Decision Tree Induction and Bayesian Classification. Chapter 4 focuses on Classification by Back propagation Support Vector Machines Cluster Analysis-Types Major Clustering Methods and Outlier Analysis. Chapter 5 is explained about Mining Streams Time Series and Sequence Data and Graph Mining.
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