文章基本信息

标题：HIT: Web Content Mining Tool
本地全文：下载
作者：Seetha, D. A. ; Pandey, K. K. ; Singh, T. P 等
期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2012
卷号：3
期号：6
页码：1388-1394
出版社：IJECCE
摘要：Among the improvement of information retrieval as well as the expansion of web, websites have turn into an additional and more essential information standard for different associations and community. On other hand, information is distributed worldwide; people have to switch to several different websites also get back the related information consistently. In the changing circumstances World Wide Web became overworked with information and made it durable to mine data according to the requirement. Web mining came as a release for the exceeding difficulty. Web content mining is a section in web mining. This paper compacts amid a study of different techniques as well as prototype of content mining and the parts which has been manipulated by content mining. The web have structured, unstructured, semi structured along with multimedia data. This survey centres on how to pertain content mining going on the hyperlink, image and text. Web content mining wants to supply functional information or awareness from Web page contents. separately from conventional jobs of Web page classification and clustering , here are several additional Web content mining assignments, for example, taking out data/information, information incorporation, mining judgments from the user-based content, pulling out the Web to construct perception hierarchies, Web page pre-processing plus cleaning, etc. Here, we will introduce web mining and there types in detail. We will also try to create a simple and user friendly web mining tool “HIT” as well as introduce some other web mining tools and there working with characteristics. We also compare “HIT” with some other web mining tools. In future we will discuss about the coding part of “HIT” and other things
关键词：Web Mining; Web Content Mining; Web Text Mining ; Web Image Mining; Web Video Mining; Web structure mining; Web Hyperlink Mining; Web Usage Mining ; Comparative Study of web Content Mining Tools; HIT introduction; Working; Conclusion; Proposed Work; Ref