Prediction Mechanism for Accessing Web Sites for Mobile Clients

Autor:	González S. Gabriel, S. Víctor J. Sosa, Rodolfo Pazos
Rok vydání:	2003
Předmět:	World Wide Web Resource (project management) Database Association rule learning Mechanism (biology) Computer science Logfile State (computer science) computer.software_genre computer
Zdroj:	Computational Science and Its Applications — ICCSA 2003 ISBN: 9783540401551 ICCSA (1)
DOI:	10.1007/3-540-44839-x_14
Popis:	The purpose of this investigation focuses on the extraction of Web site access patterns. These patterns permit to establish access probabilities to Web sites, aiming at preselecting and replicating HTML files in mobile clients for disconnection handling. This approach of resource preloading in mobile clients permits the continuity of clients work without caring for the state of their connection to the network. This paper presents the results of an investigation in which three algorithms (Composite Items, Time Windows and Seer) were implemented for generating association rules by exploiting an access logfile of Web sites. Specifically the paper presents comparative results of algorithm performance, which permitted to find the best algorithm for predicting access to Web sites.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b13b187d8972a029e1575539c9392d7f https://doi.org/10.1007/3-540-44839-x_14 Zobrazit plný text záznamu