About the book
Data Mining is a branch of computer science that is used to automatically extract meaningful, useful knowledge and previously unknown, hidden, interesting patterns from a large amount of data to support the decision-making process. The purpose of this book is to provide recent theoretical and practical advances in the field of data mining. This book will cover a number of innovative and recently developed data mining systems. A number of data mining applications will be reported including classification, clustering, association rule mining, and anomaly detection. The book also welcomes sub-topics under data mining such as text mining, web mining, image mining, data stream mining, parallel and distributed data mining, opinion mining, spatial data mining, process mining, data warehousing, and others. This book will bring together many different successful data mining studies on various areas such as health, marketing, finance, telecommunication, education, manufacturing, environment, transportation and so on. The goal is to help data miners, researchers, academics and scientists who wish to apply data mining techniques in their studies.