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India | Computer Science Engineering | Volume 9 Issue 7, July 2020 | Pages: 473 - 475
Data Mining for Sales Prediction in the Tourism Industry
Abstract: The travel industry is an encounter supplier and there is a developing need to customize these encounters. This report talks about the potential employments of data mining innovation to conjecture deals in the tourism industry. The fundamental goal is to contemplate the tourism industry and find various thoughts on data and related themes. Along these lines, we do inquire about examining essential and optional sources and breaking down the capacity to scan for visitor goals through a predefined set of data, the most extricated in the territory of the tourism industry. I have discovered a source that gives intriguing data.
Keywords: Tourism, Supplier, Data, Mining, Algorithm
How to Cite?: Pratiksha Jain, N. Partheeban, Rajkumar R., "Data Mining for Sales Prediction in the Tourism Industry", Volume 9 Issue 7, July 2020, International Journal of Science and Research (IJSR), Pages: 473-475, https://www.ijsr.net/getabstract.php?paperid=SR20704221717, DOI: https://dx.doi.org/10.21275/SR20704221717