About the book
The abundance of data in various fields including medical, financial, business, banking, cyberworld, social science, etc. has been an issue in the recent past and is expected to become worse in future. Manual analysis of such large volume of data is difficult and there is the need to automate the data analysis. Data mining includes intelligent supporting techniques in transforming the big data into useful information and knowledge. Researchers and practitioners in areas such as statistics, pattern recognition, machine learning, artificial intelligence, and visualization are contributing to the field of data mining for better utilization of the data. Data mining finds applications in the entire spectrum of science and technology, including basic sciences, life sciences and medicine, social, economic, and cognitive sciences, as well as engineering and computers.
This book on Data Mining aims to include topics from the very basics to advanced techniques, and the present-day applications in this field. Various applications and research frontiers in data mining with algorithms and implementation details for use in the real-world are encouraged.