Logistic Regression Learning Model for Handling Concept Drift with Unbalanced Data in Credit Card Fraud Detection System
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Publisher
Springer India
Link
http://link.springer.com/content/pdf/10.1007/978-81-322-2523-2_66
Reference16 articles.
1. Wang, G., Ma, J.: A hybrid ensemble approach for enterprise credit risk assessment based on support vector machine. Expert Syst. Appl. 39(5), 5325–5331 (2012)
2. Ditzler, G., Polikar, R.: Incremental learning of concept drift from streaming imbalanced data. IEEE Trans. Knowled. Data Eng. 25(10), 2283–2301 (2013)
3. He, H., Chen, S., Li, K., Xin, X.: Incremental learning from stream data. IEEE Trans. Neural Networks 22(12), 1901–1914 (2011)
4. Razavi-Far, R., Baraldi, P., Zio, E.: Dynamic weighting ensembles for incremental learning and diagnosing new concept class faults in nuclear power systems. IEEE Trans. Nucl. Sci. 59(5), 2520–2530 (2012)
5. Littlestone, N., Warmuth, M.K.: The weighted majority algorithm. Inf. Comput. 108(2), 212–261 (1994)
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