Identifying Bank Frauds Using CRISP-DM and Decision Trees
نویسندگان
چکیده
منابع مشابه
Decision Trees for handling Uncertain Data to identify bank Frauds
Classification is a classical problem in machine learning and data mining. In traditional decision tree classification, a feature of a tuple is either categorical or numerical. The decision tree algorithms are used for classify the certain and numerical data for many applications. In existing system they implement the extended the model of decision tree classification to accommodate data tuple ...
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ژورنال
عنوان ژورنال: International Journal of Computer Science and Information Technology
سال: 2010
ISSN: 0975-4660
DOI: 10.5121/ijcsit.2010.2512