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Financial statement fraud detection : an analysis of statistical and machine learning algorithms
Perols, Johan - In: Auditing : a journal of practice & theory 30 (2011) 2, pp. 19-50
Persistent link: https://www.econbiz.de/10009238033
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Multicategory classification via discrete support vector machines
Orsenigo, Carlotta; Vercellis, Carlo - In: Computational Management Science : CMS 6 (2009) 1, pp. 101-114
Persistent link: https://www.econbiz.de/10003800338
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A new model of data classification based on generalized support vector machines
Cusano, Claudio (contributor); Fini, Matteo (contributor);  … - 2004 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002184944
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Multicategory support vector machines : theory and application to the classification of microarray data and satellite radiance data
Lee, Yoonkyung; Lin, Yi; Wahba, Grace - In: Journal of the American Statistical Association : JASA 99 (2004) 465, pp. 67-81
Persistent link: https://www.econbiz.de/10002029428
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Combining Market and Accounting-Based Models for Credit Scoring Using a Classification Scheme Based on Support Vector Machines
Niklis, Dimitrios - 2012
Credit risk rating is a very important issue for both banks and companies, especially in periods of economic recession. There are many different approaches and methods which have been developed over the years. The aim of this paper is to create a credit risk rating model combining the...
Persistent link: https://www.econbiz.de/10013099959
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Toward an Ecology of Market Categories
Pontikes, Elizabeth G. - 2012
category space of market-label affiliations, supports these predictions. The results imply that social classification is …
Persistent link: https://www.econbiz.de/10013102295
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Financial Statement Fraud Detection : An Analysis of Statistical and Machine Learning Algorithms
Perols, Johan - 2013
, bagging, C4.5 and stacking. The results also reveal some diversity in predictors used across the classification algorithms …. Out of 42 predictors examined, only 6 are consistently selected and used by different classification algorithms: auditor …
Persistent link: https://www.econbiz.de/10013087966
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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
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An Information Criterion for Variable Selection in Support Vector Machines
Claeskens, Gerda - 2008
Using support vector machines for classification problems has the advantage that the curse of dimensionality is …
Persistent link: https://www.econbiz.de/10012725486
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A novel embedded min-max approach for feature selection in nonlinear Support Vector Machine classification
Jiménez-Cordero, Asunción; Morales, Juan M.; Pineda, … - In: European journal of operational research : EJOR 293 (2021) 1, pp. 24-35
Persistent link: https://www.econbiz.de/10012502445