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A REVIEW ON DATA MINING IN BANKING SECTOR
10 references·13 citing·54 second hop
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References

  • 1905Chapter 12: What does the Anthropocene hold for citizenship?11,532 cited
  • 2009Methodologies for data quality assessment and improvement1,294 cited
  • 2010Detection of financial statement fraud and feature selection using data mining techniques586 cited
  • 2011Using data mining to improve assessment of credit worthiness via credit scoring models210 cited
  • 2011Using data mining for bank direct marketing: an application of the CRISP-DM methodology208 cited
  • 2010A soft set approach for association rules mining190 cited
  • 2010Customer segmentation of multiple category data in e-commerce using a soft-clustering approach160 cited
  • 2011The Effects and Interactions of Data Quality and Problem Complexity on Classification132 cited
  • 2012Computational historiography74 cited
  • 2012Global data mining: An empirical study of current trends, future forecasts and technology diffusions44 cited

Cited by

  • 2018Deep Convolutional Neural Networks Versus Multilayer Perceptron for Financial Prediction59 cited
  • 2017Predicting direct marketing response in banking: comparison of class imbalance methods49 cited
  • 2020Clustering Analysis for Silent Telecom Customers Based on K-means++47 cited
  • 2017Clustering and profiling of customers using RFM for customer relationship management recommendations

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40 cited
  • 2020Deep Learning and Implementations in Banking35 cited
  • 2021Data mining techniques for predicting the financial performance of Islamic banking in Indonesia26 cited
  • 2016Business Intelligence using Data Mining techniques and Business Analytics25 cited
  • 2017Data Mining and Machine Learning for Financial Analysis25 cited
  • 2016A survey - data mining frameworks in credit card processing24 cited
  • 2018Deep Convolutional Neural Networks Versus Multilayer Perceptron for Financial Prediction23 cited
  • 2021Machine Learning Classification Techniques for Detecting the Impact of Human Resources Outcomes on Commercial Banks Performance20 cited
  • 2020Identifying multi-channel value co-creator groups in the banking industry19 cited
  • 2016The motivations for big data mining technologies adoption in saudi banks18 cited