Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models
By Soo-Young Kim, Arun Upneja. 2014
195 citations recorded by the source corpus.
Subfields: Accounting, Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/c5adc6700358e515855baa89b4a58d52087c8a47
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In Accounting
In Artificial Intelligence
Citations in the corpus
- Big data techniques in auditing research and practice: Current trends and future opportunities (2018, unknown): “Koyuncugil and Ozgulbas (2012b) use data mining methods to design a financial distress early warning system for small- to medium-sized enterprises.”
- Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches (2014, methodology): “Since different industries face different levels of competition, the likelihood of financial distress can differ for firms in different industries [57].”