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Detecting Management Fraud in Public Companies

Cecchini, Mark; Aytug, Haldun; Koehler, Gary J.; … - In: Management Science 56 (2010) 7, pp. 1146-1160

This paper provides a methodology for detecting management fraud using basic financial data. The methodology is based on support vector machines. An important aspect therein is a kernel that increases the power of the learning machine by allowing an implicit and generally nonlinear mapping of...

Persistent link: https://www.econbiz.de/10009293035

A fixed-center spherical separation algorithm with kernel transformations for classification problems

Astorino, A.; Gaudioso, M. - In: Computational Management Science 6 (2009) 3, pp. 357-372

Persistent link: https://www.econbiz.de/10005061250

Robust kernel principal component analysis and classification

Debruyne, Michiel; Verdonck, Tim - In: Advances in Data Analysis and Classification 4 (2010) 2, pp. 151-167

Persistent link: https://www.econbiz.de/10008674104

Improving Classification Accuracy on Imbalanced Data by Ensembling Technique

Agrawal, Divya; Bonde, Padma - In: Journal of Cases on Information Technology (JCIT) 19 (2017) 1, pp. 42-49

Prediction using classification techniques is one of the fundamental feature widely applied in various fields …. Classification accuracy is still a great challenge due to data imbalance problem. The increased volume of data is also posing a … company. As the data imbalance increases it directly affects the classification accuracy of the entire system. AUC (area under …

Persistent link: https://www.econbiz.de/10012048891

How successful are energy efficiency investments? : a comparative analysis for classification & performance prediction

Doukas, Haris; Xidonas, Panos; Mastromichalakis, Nikos - In: Computational economics 59 (2022) 2, pp. 579-598

Persistent link: https://www.econbiz.de/10013169022

Online risk monitoring using offline simulation

Jiang, Guangxin; Hong, L. Jeff; Nelson, Barry L. - In: INFORMS journal on computing : JOC 32 (2020) 2, pp. 356-375

Persistent link: https://www.econbiz.de/10012242763

A condition monitoring approach for real-time monitoring of degrading systems using Kalman filter and logistic regression

Skordilis, E.; Moghaddass, R. - In: International journal of production research 55 (2017) 19/20, pp. 5579-5596

Persistent link: https://www.econbiz.de/10011724131

Default prediction using balance-sheet data : a comparison of models

Behr, Andreas; Weinblat, Jurij - In: Journal of risk finance : the convergence of financial … 18 (2017) 5, pp. 523-540

Persistent link: https://www.econbiz.de/10011814892

Actuarial applications of word embedding models

Lee, Gee; Manski, Scott; Maiti, Tapabrata - In: ASTIN bulletin : the journal of the International … 50 (2020) 1, pp. 1-24

Persistent link: https://www.econbiz.de/10012194107

Soil texture prediction via reduced K-means principal component multinomial regression

Lucadamo, Antonio; Amenta, Pietro; Leone, Natalia - In: Socio-economic planning sciences : the international … 75 (2021), pp. 1-7

Persistent link: https://www.econbiz.de/10012533663

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