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Applying Data Analytics to Development of the Web-based Information Security Career System

机译:将数据分析应用于基于Web的信息安全职业系统的开发

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This paper proposes a case to build a Web-based information/cyber security (ICS) career system for smart education using Web data analytical technology. The proposed system will automatically monitor and extract the new ICS job openings as well as the specific knowledge, skills, certificates or degrees required for the job openings from a variety of career Web sites, and classify these jobs by location, job title, skill, certificate, and degree requirement. This Web ICS career analytics system will serve the immediate needs of students and employers in the ICS field and will have great impacts on ICS job placement, curriculum development and industrial recruitment and work as a bridge to connect faculty and students in academia to prospective ICS employers and to improve ICS career education. The paper innovatively applies Web data analytical technology (data extraction, data mining, machine learning, data analytics and visualization) to ISC career development. The proposed case will be implemented with open source data analytics software tools GATE [10] and Weka [2].
机译:本文提出了使用Web数据分析技术构建基于Web的智能教育信息/网络安全(ICS)职业系统的案例。拟议的系统将自动监视和提取来自各种职业网站的新ICS职位空缺以及职位空缺所需的特定知识,技能,证书或学位,并按位置,职位,技能,证书和学位要求。该Web ICS职业分析系统将满足ICS领域学生和雇主的迫切需求,并将对ICS职位,课程开发和行业招聘产生重大影响,并充当将学术界的教职员工与潜在ICS雇主联系起来的桥梁并改善ICS的职业教育。该论文创新地将Web数据分析技术(数据提取,数据挖掘,机器学习,数据分析和可视化)应用于ISC职业发展。拟议的案例将使用开源数据分析软件工具GATE [10]和Weka [2]实施。

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