Meaningless to meaningful Web log data for generation of Web pre-caching decision rules using Rough Set

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86092940" target="_blank" >RIV/61989100:27240/12:86092940 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/DMO.2012.6329804" target="_blank" >http://dx.doi.org/10.1109/DMO.2012.6329804</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/DMO.2012.6329804" target="_blank" >10.1109/DMO.2012.6329804</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Meaningless to meaningful Web log data for generation of Web pre-caching decision rules using Rough Set

Popis výsledku v původním jazyce

Web caching and pre-fetching are vital technologies that can increase the speed of Web loading processes. Since speed and memory are crucial aspects in enhancing the performance of mobile applications and websites, a better technique for Web loading process should be investigated. The weaknesses of the conventional Web caching policy include meaningless information and uncertainty of knowledge representation in Web logs data from the proxy cache to mobile-client. The organisation and learning task of the knowledge-processing for Web logs data require explicit representation to deal with uncertainties. This is due to the exponential growth of rules for finding a suitable knowledge representation from the proxy cache to the mobileclient. Consequently, Rough Set is chosen in this research to generate Web pre-caching decision rules to ensure the meaningless Web log data can be changed to meaningful information. 2012 IEEE.

Název v anglickém jazyce

Meaningless to meaningful Web log data for generation of Web pre-caching decision rules using Rough Set

Popis výsledku anglicky

Web caching and pre-fetching are vital technologies that can increase the speed of Web loading processes. Since speed and memory are crucial aspects in enhancing the performance of mobile applications and websites, a better technique for Web loading process should be investigated. The weaknesses of the conventional Web caching policy include meaningless information and uncertainty of knowledge representation in Web logs data from the proxy cache to mobile-client. The organisation and learning task of the knowledge-processing for Web logs data require explicit representation to deal with uncertainties. This is due to the exponential growth of rules for finding a suitable knowledge representation from the proxy cache to the mobileclient. Consequently, Rough Set is chosen in this research to generate Web pre-caching decision rules to ensure the meaningless Web log data can be changed to meaningful information. 2012 IEEE.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Conference on Data Mining and Optimization 2012

ISBN

978-1-4673-2718-3

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

91-98

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Langkawi

Datum konání akce

2. 10. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000310354100016