INTRODUCTION OF DATA MINING USING IN CONTEMPORARY WORLD
What is data mining
Data mining generally is the process of analysing data from different perspectives and summarising it into useful information (Thuraisingham, 1999). It is also called the “Knowledge Discovery in Databases” process. It can be understand in the way of discovering interesting and useful patterns and relationships in large volumes of data. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for future use. (Han & Kamber, 2006)
As computer storage capacities increased in 1980s, many companies began to collect more transactional information. The resulting record collections, often called data warehouse. These companies used computer science to explode their data warehouses, and attempt to learn the behaviour patterns of their clients. One of the earliest successful applications of data mining was credit-card-fraud detection. Through learning a consumer’s buying behaviour, a typical pattern usually becomes apparent; By a data collection of a long period of time and a large population, it would be not difficult to find distinction between normal and fraudulent behaviour works.
2. data mining in contemporary world
In contemporary world, data mining has been using in a lot of fields, such as marketing, production, policy-making and artificial intelligence. Although data mining is a relatively new concept. Many