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A Data Mining Approach to Improve Remittance by Job Placement in Overseas

机译:一种通过海外就业安置提高汇款的数据挖掘方法

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Remittance or foreign currency transaction plays an important role in increasing a country's financial growth. Bangladesh is a country with a reputation in manpower export and every year it receives a considerable amount of remittance. Yet the remittance can be improved further by providing the workers with the information of their future earnings. We propose a solution that will help the workers as well as the government to decide which country/countries will be best for workers in terms of earning, thus increasing the country's annual remittance. The research outcome from this paper could help the government to export the manpower to the right country and the workers who are planning to move abroad with a vision to work for the best suitable job with respect to their skill. Besides, the findings could help in reducing the unexpected returns of the workers and stop the bad experience the workers endure abroad.
机译:汇款或外币交易在增加一国的金融增长中起着重要作用。孟加拉国是在人力出口方面享有盛誉的国家,每年都会收到大量汇款。但是,通过向工人提供其未来收入的信息,可以进一步改善汇款。我们提出一种解决方案,该解决方案将帮助工人和政府确定哪个国家/地区最适合工人的收入,从而增加该国的年汇款额。本文的研究结果可以帮助政府向正确的国家和计划移居国外的工人输出劳动力,以期在技能方面寻求最合适的工作。此外,这些发现可以帮助减少工人的意外收益,并停止工人在国外遭受的不良经历。

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