R and Data Mining introduces researchers‎,‎ post‎-graduate students‎,‎ and analysts to data mining using R‎,‎ a free software environment for statistical computing and graphics‎.‎ The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data‎.‎ Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction‎,‎ clustering‎,‎ outlier detection‎,‎ association rules‎,‎ sequence analysis‎,‎ text mining‎,‎ social network analysis‎,‎ sentiment analysis‎,‎ and more‎.‎ Data mining techniques are growing in popularity in a broad range of areas‎,‎ from banking to insurance‎,‎ retail‎,‎ telecom‎,‎ medicine‎,‎ research‎,‎ and government‎.‎