A Review on Data Mining: Its Challenges, Issues and Applications

Abstract

Data mining is described as a process of discover or extracting interesting knowledge from large amounts of data stored in multiple data sources such as file systems, databases, data warehouses etc. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. Powerful systems for collecting data and managing it in large databases are already in place in most large and mid-range companies. However the bottleneck of turning this data into your success is the difficulty of extracting knowledge about the system that you study from the collected data. Data mining and its techniques can be extremely beneficial in many areas such as industry, commerce, government, education, and agriculture, healthcare and so on .data mining tools can analyze massive databases to deliver answers to questions such as, Which clients most likely to respond to my next promotional mailing, and why? Data mining have many advantages but still data mining systems face lot of problems and pitfalls. The purpose of this paper is to discuss Role of data mining, its application and various challenges and issues related to it.