Rapidminer for Data Mining

Data is everywhere and the amount is increasing so much that the gap between what people can understand and what is available is widening relentlessly. There is a huge value in data, but much of this value lies untapped. 80% of data mining is about understanding data, exploring it, cleaning it, and structuring it so that it can be mined. RapidMiner is an environment for machine learning, data mining, text mining, predictive analytics, and business analytics. It is used for research, education, training, rapid prototyping, application development, and industrial applications.

RapidMiner for Data Mining is packed with practical examples to help practitioners get to grips with their own data, this book is arranged so it can be consulted on an ad-hoc basic when real data is encountered. It will provide simple to intermediate examples showing modeling, visualization, and more using Rapidminer.

RapidMiner for Data Mining is a helpful guide which presents the important steps in a logical order, starting with importing data and leading you through cleaning, handling missing values, visualizing, and extracting additional information, as well as understanding the time constraints that real data places on getting a result. The book uses real examples to help you understand more quickly how the processes are set up.

This book will give you a solid understanding of the possibilities that RapidMiner gives for exploring data and you will be inspired to use it for your own work.