用数据挖掘工具和CRISP-DM方法评估工作准备的案例研究

Izabela Wowczko
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引用次数: 2

摘要

本文分析了数据挖掘技术在爱尔兰失业人口就业准备评估中的应用。为了有效地帮助求职者进入或重返工作岗位,有必要制定个人计划,并为他们提供合适的服务。这份报告调查了爱尔兰公共就业服务的客户如何认识到就业和继续教育的需求。遵循CRISPDM方法的步骤,探索组的特征并尝试识别潜在的模式。最后,在应用合适的挖掘技术后,讨论了关于工作准备的分类系统是否可以自动化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Case Study of Evaluating Job Readiness with Data Mining Tools and CRISP-DM Methodology
This paper analyses the use of data mining techniques in evaluating job readiness of unemployed population in Ireland. To effectively help a jobseeker to enter or return to employment, it is necessary to develop a personal plan and provide them with suitable services. This report investigates how employment and further education needs are recognized among the customers of the Irish public employment services. Following the steps of CRISPDM methodology, it explores the characteristics of the group and attempts to identify the underlying pattern. Finally, after applying suitable mining techniques, it is discussed whether the classification system with regard to job readiness can be automated.
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