.... For instance, Geng et al. (2015) used ten data mining techniques, namely, C&R tree, neural networks (NNs), QUEST, discriminant analysis, CHAID, C5.0 DT, Bayes net, logistic regression and support vector machines (SVMs), for financial distress prediction in China from the Shenzhen and Shanghai...

..., keywords, co-citations, thematic evolution and trend topic analysis. Findings This study reveals that the intellectual structure of using BDA in investigating FRQ encompasses three clusters. These clusters include applying data mining to detect financial reporting fraud (FRF), using machine learning...