@PhDThesis{Vasconcelos:2017:AbMiLo,
               author = "Vasconcelos, Leandro Guarino de",
                title = "Uma abordagem para minera{\c{c}}{\~a}o de logs para apoiar a 
                         constru{\c{c}}{\~a}o de aplica{\c{c}}{\~o}es web adaptativas",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2017",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2017-05-24",
             keywords = "an{\'a}lise do comportamento do usu{\'a}rio, 
                         minera{\c{c}}{\~a}o de dados da web, minera{\c{c}}{\~a}o de 
                         uso da Web, web adaptativa, user behavior analysis, web mining, 
                         web usage mining, web adaptive.",
             abstract = "Atualmente, h{\'a} mais de 1 bilh{\~a}o de web sites 
                         dispon{\'{\i}}veis. Neste enorme hiperespa{\c{c}}o, h{\'a} 
                         muitos web sites que fornecem o mesmo conte{\'u}do ou 
                         servi{\c{c}}o. Portanto, quando um usu{\'a}rio n{\~a}o encontra 
                         o que est{\'a} procurando ou enfrenta dificuldades na 
                         intera{\c{c}}{\~a}o, ele tende a procurar em outro web site. 
                         Para suprir as necessidades dos usu{\'a}rios atuais da Web, web 
                         sites adaptativos t{\^e}m sido propostos. As abordagens de 
                         adapta{\c{c}}{\~a}o existentes geralmente adaptam o 
                         conte{\'u}do das p{\'a}ginas de acordo com o interesse do 
                         usu{\'a}rio. Entretanto, a adapta{\c{c}}{\~a}o da estrutura da 
                         interface para atender {\`a}s necessidades do usu{\'a}rio ainda 
                         necessita ser explorada. Nesta tese, uma abordagem {\'e} proposta 
                         para analisar o comportamento do usu{\'a}rio de 
                         aplica{\c{c}}{\~o}es Web durante a navega{\c{c}}{\~a}o, 
                         explorando a minera{\c{c}}{\~a}o de logs de cliente, chamada RUM 
                         (em ingl{\^e}s, Real-time Usage Mining). Nesta abordagem, as 
                         a{\c{c}}{\~o}es do usu{\'a}rio s{\~a}o coletadas na interface 
                         da aplica{\c{c}}{\~a}o e processadas de forma s{\'{\i}}ncrona. 
                         Assim, a RUM {\'e} capaz de detectar problemas de usabilidade e 
                         padr{\~o}es de comportamento para o usu{\'a}rio ativo, enquanto 
                         ele navega na aplica{\c{c}}{\~a}o. A fim de facilitar a 
                         implanta{\c{c}}{\~a}o, a RUM fornece um toolkit que permite 
                         {\`a} aplica{\c{c}}{\~a}o consumir informa{\c{c}}{\~o}es 
                         sobre o comportamento do usu{\'a}rio. Usando o toolkit, os 
                         desenvolvedores podem codificar adapta{\c{c}}{\~o}es que 
                         s{\~a}o automaticamente disparadas em resposta aos dados 
                         fornecidos pelo toolkit. Experimentos foram realizados em 
                         diferentes web sites para demonstrar a efici{\^e}ncia da 
                         abordagem em apoiar adapta{\c{c}}{\~o}es na interface que 
                         aprimoram a experi{\^e}ncia do usu{\'a}rio. ABSTRACT: Currently, 
                         there are more than 1 billion websites available. In this huge 
                         hyperspace, there are many websites that provide exactly the same 
                         content or service. Therefore, when the user does not find what 
                         she is looking for easily or she faces difficulties during the 
                         interaction, she tends to search for another website. In order to 
                         fullfil the needs and preferences of todays web users, adaptive 
                         websites have been proposed. Existing adaptation approaches 
                         usually adapt the content of pages according to the user interest. 
                         However, the adaptation of the interface structure in order to 
                         meet user needs and preferences is still incipient. In this 
                         thesis, an approach is proposed to analyze the user behavior of 
                         Web applications during navigation, exploring the mining of client 
                         logs, called RUM (Real-time Usage Mining). In this approach, user 
                         actions are collected in the applications interface and processed 
                         synchronously. Thus, RUM is able to detect usability problems and 
                         behavioral patterns for the current application user, while she is 
                         browsing the application. In order to facilitate its deployment, 
                         RUM provides a toolkit which allows the application to consume 
                         information about the user behavior. By using this toolkit, 
                         developers are able to code adaptations that are automatically 
                         triggered in response to the data provided by the toolkit. 
                         Experiments were conducted on different websites to demonstrate 
                         the efficiency of the approach in order to support interface 
                         adaptations that improve the user experience.",
            committee = "Vijaykumar, Nandamudi Lankalapalli (presidente) and Santos, Rafael 
                         Duarte Coelho dos (orientador) and Baldochi J{\'u}nior, 
                         La{\'e}rcio Augusto (orientador) and Ferreira, Karine Reis and 
                         Pimentel, Maria da Gra{\c{c}}a Campos and Silva, Tiago Silva da",
         englishtitle = "An approach for mining client logs to support the construction of 
                         adaptive web applications",
             language = "pt",
                pages = "145",
                  ibi = "8JMKD3MGP3W34P/3PB998B",
                  url = "http://urlib.net/ibi/8JMKD3MGP3W34P/3PB998B",
           targetfile = "publicacao.pdf",
        urlaccessdate = "27 abr. 2024"
}