Incremental sequential pattern mining algorithms of Web site access in grid structure database

2015 ◽  
Vol 28 (3) ◽  
pp. 575-583 ◽  
Author(s):  
Dawei Liu ◽  
Saifeng Cai ◽  
Xiaohong Guo
Keyword(s):  
Web Site ◽  
Pattern Mining ◽  
Sequential Pattern Mining ◽  
Sequential Pattern ◽  
Grid Structure ◽  
Structure Database ◽  
Site Access ◽  
Mining Algorithms

scholarly journals A taxonomy of sequential pattern mining algorithms

2010 ◽  
Vol 43 (1) ◽  
pp. 1-41 ◽  
Author(s):  
Nizar R. Mabroukeh ◽  
C. I. Ezeife
Keyword(s):  
Pattern Mining ◽  
Sequential Pattern Mining ◽  
Sequential Pattern ◽  
Mining Algorithms

scholarly journals Closed sequential pattern mining for sitemap generation

2020 ◽  
Author(s):  
Michelangelo Ceci ◽  
Pasqua Fabiana Lanotte
Keyword(s):  
Web Site ◽  
Pattern Mining ◽  
Sequential Pattern Mining ◽  
Design Concept ◽  
Sequential Pattern ◽  
Website Design ◽  
Web Graph ◽  
Textual Content ◽  
Website Content ◽  
The Web

Abstract A sitemap represents an explicit specification of the design concept and knowledge organization of a website and is therefore considered as the website’s basic ontology. It not only presents the main usage flows for users, but also hierarchically organizes concepts of the website. Typically, sitemaps are defined by webmasters in the very early stages of the website design. However, during their life websites significantly change their structure, their content and their possible navigation paths. Even if this is not the case, webmasters can fail to either define sitemaps that reflect the actual website content or, vice versa, to define the actual organization of pages and links which do not reflect the intended organization of the content coded in the sitemaps. In this paper we propose an approach which automatically generates sitemaps. Contrary to other approaches proposed in the literature, which mainly generate sitemaps from the textual content of the pages, in this work sitemaps are generated by analyzing the Web graph of a website. This allows us to: i) automatically generate a sitemap on the basis of possible navigation paths, ii) compare the generated sitemaps with either the sitemap provided by the Web designer or with the intended sitemap of the website and, consequently, iii) plan possible website re-organization. The solution we propose is based on closed frequent sequence extraction and only concentrates on hyperlinks organized in “Web lists”, which are logical lists embedded in the pages. These “Web lists” are typically used for supporting users in Web site navigation and they include menus, navbars and content tables. Experiments performed on three real datasets show that the extracted sitemaps are much more similar to those defined by website curators than those obtained by competitor algorithms.

Sequential pattern mining algorithms review

2012 ◽  
Vol 16 (3) ◽  
pp. 451-466 ◽  
Author(s):  
José Kadir Febrer-Hernández ◽  
José Hernández-Palancar
Keyword(s):  
Pattern Mining ◽  
Sequential Pattern Mining ◽  
Sequential Pattern ◽  
Mining Algorithms
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