Fraud methods in banking and its detection

In thesis study, it has been aimed to prohibit fraud and theft in banking and finance sector basically. For supporting this purpose, some software languages, database management system applications and related model and algorithms of data mining have been used in thesis. In the thesis study, main purpose is both prohibiting moral, material losses and protecting their corporative images by providing faster, secured service to clients for institutions. In the thesis study, clients past shopping histories have been detained in database systems basically. These transactions have been saved in the database by categorizing and detecting which client spent his/her money to which product range?' Imbursed amounts to products have been also considered in the categories. In the thesis study, bank clients five monthly expense are recorded with category and amounts. In case of copying and stealing the client's card with specific methods and contradiction his/her upcoming shopping to his/her behaviors; fraud risk will be designated by getting involved construct which is consisted because of tree that it is generated with data mining. In the data mining, decision tree within classification method and classification technique's C4.5 algorithm have been used. Developing has been provided over training data with decision tree technique.