Publisher's Synopsis
The text is organized into eleven chapters, Chapter 1 and Chapter 2 provides Basic and useful concept of Data Mining. Chapter 3 and Chapter 4 describe data mining techniques and detail of classification. Chapter 5 and Chapter 6, includes detail concept of clustering and association rule mining with different algorithm. Chapter 7 and Chapter 8, web mining and spatial mining, web structure mining, web usage mining and web graph mining, basic concept of spatial mining. Chapter 9 and Chapter 10, basic concept of temporal mining and graph mining, Time Series Data Analysis, Pattern Detection, Sequences, Graph Concepts, Mining Data In Graph, Graph Models, Application of Graph Mining. Chapter 11 provides the detail study of different application in the field of science, engineering and technology. Chapter 12 and 13 gives some helpful question and answer as well as exercise that are useful for students. Finally this book includes things to know, solved and un-solved problems, exercise and list of projects that are useful for both graduate and post-graduate students.
