Data Mining Applications in the Banking Industry in China (1998-2007)

Abstract

Data mining popularly referred to as knowledge discovery from data (KDD), is the automated or convenient extraction of patterns representing knowledge implicitly stored or catchable in large databases, data warehouses, the Web, other massive information repositories, or data streams. Data mining increasingly mature and has been widely used in various industry. The banking industry is typical Industry of data mining applications. This study reviews the relevant literatures on data mining applications in the banking industry from 1998 to 2007 in China. With the method of bibliometric analysis makes a statistical analysis on literatures from the perspectives of time distribution, research techniques, research topics, and research methods. This paper concludes data mining in the banking industry research category Charts, and the applied research character of data mining in the banking industry in China. With the overseas research situation contrast, this paper makes some suggestions on the improvement of data mining applications in China.