<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Despoina Chatzakou</style></author><author><style face="normal" font="default" size="100%">Passalis, Nikolaos</style></author><author><style face="normal" font="default" size="100%">Athena Vakali</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Sanjay Kumar Madria</style></author><author><style face="normal" font="default" size="100%">Hara, Takahiro</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">MultiSpot: Spotting Sentiments with Semantic Aware Multilevel Cascaded Analysis</style></title><secondary-title><style face="normal" font="default" size="100%">Big Data Analytics and Knowledge Discovery</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Multilevel features</style></keyword><keyword><style  face="normal" font="default" size="100%">Sentiment detection</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2015</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/978-3-319-22729-0_26</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer International Publishing</style></publisher><volume><style face="normal" font="default" size="100%">9263</style></volume><pages><style face="normal" font="default" size="100%">337-350</style></pages><isbn><style face="normal" font="default" size="100%">978-3-319-22728-3</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Athena Vakali</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Bauknecht, Kurt</style></author><author><style face="normal" font="default" size="100%">Sanjay Kumar Madria</style></author><author><style face="normal" font="default" size="100%">Pernul, Günther</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">LRU-based Algorithms for Web Cache Replacement</style></title><secondary-title><style face="normal" font="default" size="100%">EC-Web</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Cache consistency</style></keyword><keyword><style  face="normal" font="default" size="100%">Cache replacement algorithms</style></keyword><keyword><style  face="normal" font="default" size="100%">Web caching and proxies</style></keyword><keyword><style  face="normal" font="default" size="100%">Web-based information systems</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2000</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><volume><style face="normal" font="default" size="100%">1875</style></volume><pages><style face="normal" font="default" size="100%">409-418</style></pages><isbn><style face="normal" font="default" size="100%">3-540-67981-2</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Caching has been introduced and applied in prototype andcommercial Web-based information systems in order to reduce the overallbandwidth and increase systemâ€™s fault tolerance. This paper presents atrack of Web cache replacement algorithms based on the Least RecentlyUsed (LRU) idea. We propose an extension to the conventional LRUalgorithm by considering the number of references to Web objects as acritical parameter for the cache content replacement. The proposed algorithmsare validated and experimented under Web cache traces providedby a major Squid proxy cache server installation environment. Cache andbytes hit rates are reported showing that the proposed cache replacementalgorithms improve cache content.&lt;/p&gt;
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