مقاله انگلیسی رایگان در مورد روش ها و کاربردهای وب کاوی – 2018 IEEE

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.

I. INTRODUCTION

The first use of the term Web mining (WM) goes to Oren Etzioni who tried to apply data mining technology on the Web. In this work [1], he defines Web mining as the application of data mining techniques to Web data for the extraction of relevant information from the resources available in the Web, a Web resource can be a document or a web service. Since 1996, several other works and publications have focused on this subject. The almost all of this research, it is widely accepted that Web mining is a subject of many other fields (information retrieval, databases, artificial intelligence …), which aims to extend and adapt data mining techniques [2],[3]. The data are generally stored in a Data-Wabehouse, including the objective of construction is to collect specific data to analyze the behavior of navigation we can classify the data used in four types : • Content Data: Data contained in the Web pages (texts, images, graphics…). • Data relating to the structure: structure of the page, structure inter-page… • Data relating to the Use: data providing information on the use such as IP addresses, the date and the time of queries. • Data relating to the profile of the user. In this work we will present a review of the literature on Web mining, since its techniques: last trend, its tools, and an overview on some areas of application. 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.