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Analyzing Computer Programming Job Trend Using Web Data Mining

机译:使用Web数据挖掘分析计算机编程工作趋势

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摘要

Today's rapid changing and competitive environment requires educators to stay abreast of the job market in order to prepare their students for the jobs being demanded. This is more relevant about Information Technology (IT) jobs than others. However, to stay abreast of the market job demands require retrieving, sifting and analyzing large volume of data in order to understand the trends of the job market. Traditional methods of data collection and analysis are not sufficient for this kind of analysis due to the large volume of job data that is generated through the web and elsewhere. Luckily, the field of data mining has emerged to collect and sift through such large data volumes. However, even with data mining, appropriate data collection techniques and analysis need to be followed in order to correctly understand the trend. This paper illustrates our experience with employing mining techniques to understand the trend in IT Technology jobs. Data was collect using data mining techniques over a number of years from an online job agency. The data was then analyzed to reach a conclusion about the trends in the job market. Our experience in this regard along with literature review of the relevant topics is illustrated in this paper.
机译:在当今瞬息万变的市场和竞争激烈的环境中,教育工作者必须与就业市场保持同步,以便为学生准备所需的工作。与信息技术(IT)职位相比,这更有意义。但是,为了跟上市场的工作需求,需要检索,筛选和分析大量数据,以便了解就业市场的趋势。由于通过网络和其他地方生成大量的工作数据,因此传统的数据收集和分析方法不足以进行此类分析。幸运的是,数据挖掘领域已经出现,可以收集和筛选如此庞大的数据量。但是,即使进行数据挖掘,也需要遵循适当的数据收集技术和分析才能正确理解趋势。本文说明了我们使用挖掘技术来了解IT技术工作趋势的经验。数年来,使用数据挖掘技术从在线职业介绍所收集数据。然后对数据进行分析,以得出有关就业市场趋势的结论。本文说明了我们在这方面的经验以及相关主题的文献综述。

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