Hybrid Association Rule Learning and Process Mining for Fraud Detection
暂无分享,去创建一个
Riyanarto Sarno | Tohari Ahmad | Mohammad Farid Naufal | R. Sarno | T. Ahmad | Rahadian Dustrial Dewandono | I FernandesSinaga | I. FernandesSinaga | M. F. Naufal
[1] Boudewijn F. van Dongen,et al. Business process mining: An industrial application , 2007, Inf. Syst..
[2] Philip S. Yu,et al. Decision tree evolution using limited number of labeled data items from drifting data streams , 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).
[3] Xindong Wu,et al. Efficient mining of both positive and negative association rules , 2004, TOIS.
[4] Kenneth O. Cogger,et al. Neural network detection of management fraud using published financial data , 1998, Intell. Syst. Account. Finance Manag..
[5] Koen Vanhoof,et al. A business process mining application for internal transaction fraud mitigation , 2011, Expert Syst. Appl..
[6] Francesco Folino,et al. Mining usage scenarios in business processes: Outlier-aware discovery and run-time prediction , 2011, Data Knowl. Eng..
[7] Jun Zhang,et al. Feature Selection : A Preprocess for Data Perturbation , 2011 .
[8] Heikki Mannila,et al. Finding interesting rules from large sets of discovered association rules , 1994, CIKM '94.
[9] J. M. Serrano,et al. Association rules applied to credit card fraud detection , 2009, Expert Syst. Appl..
[10] Chin-Feng Lee,et al. Efficient Associating Mining Approaches for Compressing Incrementally Updatable Native XML Databases , 2006, IMECS.
[11] Ramakrishnan Srikant,et al. Fast Algorithms for Mining Association Rules in Large Databases , 1994, VLDB.