ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
Abstract
WWW is, by far, the enormous database in the world, holding humongous amount of data of various types that would be consumed by users for various needs. It contains priceless data for businesses, if mined effectively. Web mining is a process that targets to find useful information or knowledge from the Web page contents, hyperlink structure, and usage or sever logs of websites. Web data mining is divided into three major groups - Web Content mining, Web Structure mining and Web Usage mining. This survey paper reports the basic concepts of each type of web mining, techniques for data extraction or knowledge detection and uses of different types of web mining methods.
CONCLUSIONS
This survey paper explains the concepts of Web mining and its classifications. It also explains the details about the techniques and data mining algorithms used to discover useful information from each category. Finally this paper explains the applications of web data mining in various fields. Now-a-days, web contents give new challenges to the traditional data mining algorithms that work on flat data. This paper also deals with how the traditional data mining algorithms have been modified or new algorithms have been developed to work on the Web data. This research paper simply generalizes the concepts, techniques and applications in the area of web mining.