Pattern Analysis On Banking Dataset
Amritpal Singh, Amrita Kaur, Jasmeet Kaur, Ramandeep Singh, Shipra Raheja
Keyword: Data Mining, Business, Customer acquisition, retention management, Marketing, Fraud and Risk Management
Abstract: Everyday refinement and development of technology has led to an increase in the competition between the Tech companies and their going out of way to crack the system andbreak down. Thus, providing Data mining a strategically and security-wise important area for many business organizations including banking sector. It allows the analyzes of important information in the data warehouse and assists the banks to look for obscure patterns in a group and discover unknown relationship in the data.Banking systems needs to process ample amount of data on daily basis, related to customer information, their credit card details, limit and collateral details, transaction details, risk profiles, Anti Money Laundering related information, trade finance data. Thousands of decisions,based on the related data, are taken in a bank daily. This paper analyzes the banking dataset in the weka environment for the detection of interesting patterns based on its applications ofcustomer acquisition, customer retention management, and marketing and management of risk, fraudulence detections.
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