References in tourism studies on imbalanced data
| Year | Author | Topic | Technique used | Period | Country |
|---|---|---|---|---|---|
| 2002 | Chawla et al | General paper on imbalanced data | Creation of synthetic samples | – | – |
| 2012 | Li and Sun | Firm failure prediction | K Nearest neighbour | 1998–2010 | China |
| 2014 | Xu et al | Financial distress of Chinese tourism and hospitality firms | Synthetic minority over-sampling | 1999–2013 | China |
| 2018 | Fernández et al | Recommendation of hotel stays | Logit regression model | 2014 | Various |
| 2021 | Guerra-Montenegro et al | Computational Intelligence in the hospitality industry | Systematic review | 1998–2018 | Various |
| 2022 | Ma | Planification strategies within a tourism management system | Pre-processing of the minority class | Unspecified | Unspecified |
| 2022 | Hoffman et al | Accommodations' sustainability | Comparison of the machine learning techniques | 2020 | 37 European countries |
| Year | Author | Topic | Technique used | Period | Country |
|---|---|---|---|---|---|
| 2002 | Chawla | General paper on imbalanced data | Creation of synthetic samples | – | – |
| 2012 | Li and Sun | Firm failure prediction | K Nearest neighbour | 1998–2010 | China |
| 2014 | Xu | Financial distress of Chinese tourism and hospitality firms | Synthetic minority over-sampling | 1999–2013 | China |
| 2018 | Fernández | Recommendation of hotel stays | Logit regression model | 2014 | Various |
| 2021 | Guerra-Montenegro | Computational Intelligence in the hospitality industry | Systematic review | 1998–2018 | Various |
| 2022 | Ma | Planification strategies within a tourism management system | Pre-processing of the minority class | Unspecified | Unspecified |
| 2022 | Hoffman | Accommodations' sustainability | Comparison of the machine learning techniques | 2020 | 37 European countries |
Source(s): Prepared by the authors
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