网络挖掘技术和应用:文献综述和建议的方法,以提高就业表现的年轻毕业生在摩洛哥

K. Sellamy, Y. Fakhri, S. Boulaknadel, A. Moumen, K. Hafed, H. Jamil, Y. Lakhrissi
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引用次数: 13

摘要

查看网页中呈现的大量数据,有不同的组织和公司的极大关注,以收集这些信息,以他们的最佳利益来使用它们。这是通过Web挖掘实现的,它使用数据挖掘的技术和算法直接从Web中提取信息和知识。Web数据挖掘不仅关注商业信息的实现,而且还被各种组织用于在不同领域做出良好的预测和决策。本文对web数据挖掘进行了初步讨论,重点介绍了web数据挖掘的技术、工具和应用。然后,我们将提出一种方法,在大学培训中获得的技能与摩洛哥雇主所寻求的技能之间进行交叉分析。
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Web mining techniques and applications: Literature review and a proposal approach to improve performance of employment for young graduate in Morocco
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.
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