<p><i>Data Mining Applications with R</i> is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. </p> <p>Twenty different real-world case studies illustrate various techniques in rapidly growing areas, including: </p> <ul><li>Retail</li><li>Crime and homeland security</li><li>Stock markets</li><li>Social media</li><li>Sports</li><li>Bioinformatics</li><li>Spatial data analysis</li><li>Real estate</li></ul> <p>This book is an ideal companion for data mining researchers in academia and industry looking for ways to turn this versatile software into a powerful analytic tool.</p><ul><li>Helps data miners to learn to use R in their specific area of work and see how R can apply in different industries</li><li>Presents various case studies in real-world applications, which will help readers to apply the techniques in their work</li><li>Provides code examples and sample data for readers to easily learn the techniques by running the code by themselves</li></ul>