A SYSTEMATIC REVIEW ON DATA MINING METHODS AND APPLICATIONS

Data mining is the practice of extracting concealed, helpful patterns and information from data. It is a novel technology that assists organizations to forecast future trends and actions, permitting them to make practical, knowledge driven decisions. The present work describes the data mining process and how it can assist decision makers to take better decisions. Practically, data mining is very fruitful for large sized organizations with huge amount of data. It also helps to augment the net profit, as a result of correct decisions taken during the right time. This paper presents the various steps taken during the data mining process and how organizations can get better answer queries from huge datasets. It also presents detailed review on data mining methods and applications.