Abstract : This book on Data Mining is simple to read and understand examples of real world problems related to search for knowledge through data mining. The authors have included number of practical examples of data mining theory to enable students to understand concepts of data mining and effectively use those in providing cost-efficient business solution in real – life environment. It provides tool for decision -making on assorted data of varying formats.The key features of this book are:
i) Data Mining aspects related to mathematics and statistics have been included in simple to understand form. After reading this book even those who do not have good background of mathematics can also tackle data mining problems.
ii) Free software product called Waco is available on the web site and the book provides a special section of machine learning and algorithms for data mining. It also contains tools for data pre-processing and classification.
iii) Knowledge of computer programming is useful but not compulsory to understand and practice data mining.
The Authors have provided a good mix of theory and practices for the students to evolve their own practical solutions of problems related to data mining in their prevailing business environment.
This book is considered suitable for under graduate students of Business sciences, Computer Sciences, Engineering, Statistics, Information System, Information Technology and Data Based Marketing.
Dr Sarbjit Singh