دانلود رایگان مقاله انگلیسی روش ها و کاربردهای وب کاوی: بهبود عملکرد استخدام برای فارغ التحصیلان جوان - IEEE 2018

Abstract

View the large amount of data presented in the web pages, there is a great focus of different organizations and companies, to gather this information to use them in their best interest. This is achieved through Web mining which uses the techniques and algorithms of Data Mining to extract information and knowledge directly from the Web. The Web data mining is not only focused on the achievement of commercial information, but it is also used by various organization to make the good predictions and decisions in a different areas. The present paper deals with primary discussion of web mining, it focuses on a short presentation of web data mining its techniques, tools and applications. Then, we will propose an approach for the cross-analysis between the skills acquired in university training and the skills sought by employers in Morocco.

CONCLUSION & FUTURE WORK

In this paper, we have presented the web data mining concept and techniques with an insight into the findings from the previous research in the data and web mining, we also listed the tools with their characteristics, and then we quote some web mining areas. Our study aims to apply the latest trends of web mining and data mining in the education and employment field in Morocco, by the cross analysis between skills acquired in university and the skills sought by employers. More specifically, by conducting a quantitative and qualitative study of the skills taught during university period and the skills required by the job market, collected from web portals using web mining techniques and algorithms, then we will study the different variables. Later we will develop a model of proposal prototype to characterize the general properties. The diagrams below summarize our proposed approach and prototype, which will be improved as this study progresses.