3 Review(s)

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.