A decision support based on data mining in e-banking

Data Mining Model for Money Laundering Detection in Financial Domain

“…It is impeccable that the bank should have knowledge of causes which generate the financial crises or imbalances. [3] …”

Smart Banking: User Characteristics and Their Effects on the Usage of Emerging Banking Applications

“… Description and analysis of historic or existing applications [5][6],  Empirical evaluations of user acceptance [2], [7][8][9][10],  Studies addressing future and emerging technologies and services [11][12][13][14][15][16].…”

“…Not without irony, Kühn indicates that this problem might be solved in the near future: "Thanks to the Internet, today's end users have access to exactly the same information as their bank consultants" [12]. Two techniques that make use of data mining in order to assist users in making "good" decisions during their banking activities were proposed by Aggelis et al [14] and Ionita et al [15]. Nami [16] took another approach and described how customers, banks and the whole economy can profit from electronic banking and summarizes problems that the designers of future banking system need to be aware of.…”

Data Mining in Banking and Its Applications-a Review

“…Data mining can assist critical decision making processes in a bank (Ionita and Ionita, 2011). Banks who apply data mining techniques in their decision making hugely benefit and hold an edge over others who don't.…”

“…It is assumed that valuable information are hidden in this volume of operational and historic data that can be used for critical decision making process if they are discovered and put to use by capable tools (Kazi and Ahmed, 2012). For example, a decision support system based on data mining techniques can be employed to improve the quality of lending process in a bank (Ionita and Ionita, 2011). Figure 2 shows how data mining can improve decision making process.…”