Web Structure Mining

Claudia Elena Dinucă ()
Additional contact information
Claudia Elena Dinucă: University of Craiova, Romania

Annals of the University of Petrosani, Economics, 2011, vol. 11, issue 4, 73-84

Abstract: The World Wide Web became one of the most valuable resources for information retrievals and knowledge discoveries due to the permanent increasing of the amount of data available online. Taking into consideration the web dimension, the users get easily lost in the web’s rich hyper structure. Application of data mining methods is the right solution for knowledge discovery on the Web. The knowledge extracted from the Web can be used to raise the performances for Web information retrievals, question answering and Web based data warehousing. In this paper, I provide an introduction of Web mining categories and I focus on one of these categories: the Web structure mining. Web structure mining, one of three categories of web mining for data, is a tool used to identify the relationship between Web pages linked by information or direct link connection. It offers information about how different pages are linked together to form this huge web. Web Structure Mining finds hidden basic structures and uses hyperlinks for more web applications such as web search.

Keywords: web mining; internet; web structure mining; link mining (search for similar items in EconPapers)
JEL-codes: L86 (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://upet.ro/annals/economics/pdf/2011/part4/Dinuca.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pet:annals:v:11:y:2011:i:4:p:73-84

Access Statistics for this article

More articles in Annals of the University of Petrosani, Economics from University of Petrosani, Romania
Bibliographic data for series maintained by Imola Driga ().