Analysis of banking data using machine learning
PS Patil, NV Dharwadkar - … Conference on I-SMAC (IoT in …, 2017 - ieeexplore.ieee.org
PS Patil, NV Dharwadkar
2017 International Conference on I-SMAC (IoT in Social, Mobile …, 2017•ieeexplore.ieee.orgIn today's world large amount of data is generated in every field and banking industry is one
of them. This data contains valuable information. Hence, it is very important to store, process,
manage and analyze this data to extract knowledge from it. It helps to increase business
profit. Banking industry plays very important role in economy of country. Customers are the
main asset of the bank. Hence it is necessary to focus on problems faced by the banks.
Here, we are working on customer retention and fraud detection. In this work, supervised …
of them. This data contains valuable information. Hence, it is very important to store, process,
manage and analyze this data to extract knowledge from it. It helps to increase business
profit. Banking industry plays very important role in economy of country. Customers are the
main asset of the bank. Hence it is necessary to focus on problems faced by the banks.
Here, we are working on customer retention and fraud detection. In this work, supervised …
In today's world large amount of data is generated in every field and banking industry is one of them. This data contains valuable information. Hence, it is very important to store, process, manage and analyze this data to extract knowledge from it. It helps to increase business profit. Banking industry plays very important role in economy of country. Customers are the main asset of the bank. Hence it is necessary to focus on problems faced by the banks. Here, we are working on customer retention and fraud detection. In this work, supervised artificial neural network algorithm is implemented for classification purpose.
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