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Research Paper | Computer Science & Engineering | Nigeria | Volume 6 Issue 6, June 2017
How to Improve Efficiency of Banking System with Big Data (A Case Study of Nigeria Banks)
Abstract: In banking industry today which their data has now turn to what we call Big data, some banks has now started making advantages of these big data to reach the main objectives of marketing. The banking industry can use the data to increase their efficiency by identifying the key customer, improving the customer feedback system, detect when they are about to lose a customer, to enhance the active and passive security system and efficiently evaluating of the system. This paper focus on different analysis and algorithms the banking industry can use to achieve all the advantages of these big data especially Nigeria banking industry. Analysis such as Link analysis, survival analysis, neural analysis, text analytics, clustering analysis, decision tree, sentiment analysis, social network analysis and datammer for predicting the security threat.
Keywords: Banking System, Big Data, text analytics, clustering analysis, decision tree, sentiment analysis, social network analysis
Edition: Volume 6 Issue 6, June 2017,
Pages: 944 - 947
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M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 5, May 2015
Pages: 2707 - 2709NVSS Scheme Based ATM Authentication Using Fingerprint Matching
Nasla K [2] | Hemand E P
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Research Paper, Computer Science & Engineering, India, Volume 6 Issue 5, May 2017
Pages: 1619 - 1621Highly Secured Net Banking System Using Fingerprinting Recognition Technology
Pooja Diggavi | Pooja Patil | Krupa R [3] | Padma S.K | Sridevi Malipatil