@InProceedings{VasconcelosSantBald:2013:ExClLo,
               author = "Vasconcelos, Leandro Guarino de and Santos, Rafael Duarte Coelho 
                         dos and Baldochi J{\'u}nior, La{\'e}rcio Augusto",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Exploring client logs towards characterizing the user behavior on 
                         Web applications",
            booktitle = "Proceedings...",
                 year = "2013",
               editor = "Broome, BD and Hall, DL and Llinas, J",
         organization = "SPIE.",
            publisher = "SPIE-INT SOC OPTICAL ENGINEERING",
              address = "1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA",
                 note = "Conference on Next-Generation Analyst, Baltimore, MD, APR 29-30, 
                         2013",
             keywords = "client log analysis, graph mining, user behavior.",
             abstract = "Analysis of user interaction with computer systems can be used for 
                         several purposes, the most common being analysis of the 
                         effectiveness of the interfaces used for interaction (in order to 
                         adapt or enhance its usefulness) and analysis of intention and 
                         behavior of the users when interacting with these systems. For web 
                         applications, often the analysis of user interaction is done using 
                         the web server logs collected for every document sent to the user 
                         in response to his/her request. In order to capture more detailed 
                         data on the users' interaction with sites, one could collect 
                         actions the user performs in the client side. An effective 
                         approach to this is the USABILICS system, which also allows the 
                         definition and analysis of tasks in web applications. The fine 
                         granularity of logs collected by USABILICS allows a much more 
                         detailed log of users' interaction with a web application. These 
                         logs can be converted into graphs where vertices are users' 
                         actions and edges are paths made by the user to accomplish a task. 
                         Graph analysis and visualization tools and techniques allow the 
                         analysis of actions taken in relation to an expected action path, 
                         or characterization of common (and uncommon) paths on the 
                         interaction with the application. This paper describes how to 
                         estimate users' behavior and characterize their intentions during 
                         interaction with a web application, presents the analysis and 
                         visualization tools on those graphs and shows some practical 
                         results with an educational site, commenting on the results and 
                         implications of the possibilities of using these techniques.",
  conference-location = "Baltimore",
      conference-year = "29 Apr.-3 May, 2013",
                  doi = "10.1117/12.2015711",
                  url = "http://dx.doi.org/10.1117/12.2015711",
                 isbn = "978-0-8194-9549-5",
                 issn = "0277-786X",
                label = "isi 2013-11",
             language = "en",
           targetfile = "87580G.pdf",
                 type = "Proceedings Paper",
               volume = "8758",
        urlaccessdate = "16 jun. 2024"
}