scholarly journals Web mining: information and pattern discovery on the World Wide Web

2002 ◽  
Author(s):  
R. Cooley ◽  
B. Mobasher ◽  
J. Srivastava
Keyword(s):  
World Wide Web ◽  
Web Mining ◽  
World Wide ◽  
Pattern Discovery ◽  
The World

Analyzing Website Quality Issues through Web Mining

2017 ◽  
pp. 168-198
Author(s):  
G. Sreedhar
Keyword(s):  
World Wide Web ◽  
Web Mining ◽  
World Wide ◽  
Web Content ◽  
Website Quality ◽  
Web Structure ◽  
Web Structure Mining ◽  
The World ◽  
Content Mining ◽  
The Web

In the present day scenario the World Wide Web (WWW) is an important and popular information search tool. It provides convenient access to almost all kinds of information – from education to entertainment. The main objective of the chapter is to retrieve information from websites and then use the information for website quality analysis. In this chapter information of the website is retrieved through web mining process. Web mining is the process is the integration of three knowledge domains: Web Content Mining, Web Structure Mining and Web Usage Mining. Web content mining is the process of extracting knowledge from the content of web documents. Web structure mining is the process of inferring knowledge from the World Wide Web organization and links between references and referents in the Web. The web content elements are used to derive functionality and usability of the website. The Web Component elements are used to find the performance of the website. The website structural elements are used to find the complexity and usability of the website. The quality assurance techniques for web applications generally focus on the prevention of web failure or the reduction of chances for such failures. The web failures are defined as the inability to obtain or deliver information such as documents or computational results requested by web users. A high quality website is one that provides relevant, useful content and a good user experience. Thus in this chapter, all areas of website are thoroughly studied for analysing the quality of website design.

A STUDYING OF WEB CONTENT MINING TOOLS

2020 ◽  
Vol 25 (2) ◽  
pp. 1-16
Author(s):  
Rasha Hany Salman ◽  
Mahmood Zaki ◽  
Nadia A. Shiltag
Keyword(s):  
World Wide Web ◽  
Critical Review ◽  
Web Mining ◽  
World Wide ◽  
Web Content ◽  
Web Content Mining ◽  
The World ◽  
Content Mining ◽  
Mining Tools ◽  
The Web

The web today has become an archive of information in any structure such content, sound, video, designs, and multimedia, with the progression of time overall web, the world wide web is now crowded with different data making extraction of virtual data burdensome process, web utilizes various information mining strategies to mine helpful information from page substance and web hyperlink. The fundamental employments of web content mining are to gather, sort out, classify, providing the best data accessible on the web for the client who needs to get it. The WCM tools are needful to examining some HTML reports, content and pictures at that point, the outcome is using by the web engine. This paper displays an overview of web mining categorization, web content technique and critical review and study of web content mining tools since (2011-2019) by building the table's a comparison of these instruments dependent on some important criteria

scholarly journals A Review Of Trends In Research On Web Mining

2011 ◽  
pp. 37-41
Author(s):  
Manoj Pandia ◽  
Subhendu Kumar Pani ◽  
Sanjay Kumar Padhi ◽  
Lingaraj Panigrahy ◽  
R. Ramakrishna
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
World Wide Web ◽  
Web Mining ◽  
World Wide ◽  
Research Topic ◽  
Research Areas ◽  
The World ◽  
Fertile Area ◽  
The Web

In recent years the growth of the World Wide Web exceeded all expectations. Today there are several billions of HTML documents, pictures and other multimedia files available via internet and the number is still rising. But considering the impressive variety of the web, retrieving interesting content has become a very difficult task.So, the World Wide Web is a fertile area for data mining research.Web mining is a research topic which combines two of the activated research areas: Data Mining and World Wide Web. Web mining research relates to several research communities such as Database, information Retrieval and Artificial intelligence, visualization.This paper reviews the research and application issues in web mining besides proving an overall view of Web mining.

scholarly journals An Integrated Approach for Knowledge discovery and Information retrieval on Web

2020 ◽  
pp. 81-83
Keyword(s):  
Data Mining ◽  
World Wide Web ◽  
Knowledge Discovery ◽  
Web Mining ◽  
World Wide ◽  
Information Filtering ◽  
Integrated Approach ◽  
Web Data ◽  
Web Information ◽  
The World

This Paper focuses on the integration of web information and subsequent knowledge relationship discovery within the integrated web data. The problem of information overload on the Internet has brought new attention to the ideas of filtering information on internet. Knowledge Discovery is often used for analysis of large amounts of web data and enables addressing a number of tasks that arise in Semantic Web and require scalable solutions. The World Wide Web and related web Information resources no arguably stand as the best-preferred medium for distributing information. It introduces various approaches to knowledge relation discovery like model creation, exact comparison and dynamic comparison. The nature of the web and the mass of valuable web information it holds, poses an ideal stage for applying data mining techniques for efficient discovery of knowledge from the World Wide Web. The eagerness shown by various research communities has made web based data mining (Web Mining) a rich mixture of different technologies. Therefore the heterogeneity in the area of web mining is as high as web itself. Our objective is to design an approach for information filtering, a general approach to personalized information filtering. Social Information filtering essentially automates the process of “word-of-mouth” recommendations: items are recommended to a user based upon values assigned by other people with similar taste. The system determines which users have similar taste via standard formulas for computing statistical correlations. The World Wide Web (WWW) provides a vast source of information. Technique for making personalized recommendations from any type of database to a user based on similarities between the interest profile of that user and those of other users. Recent years have seen the explosive growth of the sheer volume of information.

Dancing Across the World Wide Web: Advocacy in the 21st Century

2009 ◽  
Author(s):  
Blair Williams Cronin ◽  
Ty Tedmon-Jones ◽  
Lora Wilson Mau
Keyword(s):  
World Wide Web ◽  
21St Century ◽  
World Wide ◽  
The World

THE EUROPEAN UNION FORUM ON KIDS' SAFETY IN INTERNET SIF 2019

2019 ◽  
pp. 3-6
Author(s):  
D. A. Bogdanova
Keyword(s):  
European Union ◽  
World Wide Web ◽  
World Wide ◽  
The European Union ◽  
Internet Forum ◽  
The World

The article provides an overview of the activities of the European Union Forum on kids' safety in Internet — Safer Internet Forum (SIF) 2019, which was held in Brussels, Belgium, in November 2019. The current Internet risks addressed by the World Wide Web users, especially children, are described.

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