Abstract
Tourism is viewed as a major economy booster. Although tourism has a beneficial influence on the economy in terms of national income generation, job creation, tax revenue generation and foreign exchange generation, it is a multi-segment sector. As a primary goal of higher education institutions, improving student performance is a top priority. Before a performance improvement program can be designed, it is necessary to map the students' current situation. Traditional computer techniques in the IT industry differ from machine learning. To describe or solve a problem, computers utilize a set of well-written instructions. Data inputs for factual research can be prepared using master learning approaches by computers. We'll look at how machine learning can be used in the tourist and education sectors.
| Original language | English |
|---|---|
| Pages (from-to) | 2457-2461 |
| Number of pages | 5 |
| Journal | Materials Today: Proceedings |
| Volume | 51 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 2021 International Conference on Advances in Materials Science, ICAMS 2021 - Virtual, Online, India Duration: 11 Sept 2021 → 12 Sept 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
Keywords
- Classification
- Learning analytics
- Machine learning
- Predictive analytics
- Tourism prediction
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