Title :
A System to Capture and Generation of Traffic Information from Posted Messages on Social Networks
Author :
Huzita, Elisa H M ; de Souza, Tainan G. F. ; Kabuki, Yan H.
Author_Institution :
Dept. de Inf., Univ. Estadual de Maringa (UEM), Maringa, Brazil
Abstract :
The expansion of the Internet and the growing use of social networks, allowed the capture and use of data related to traffic. This article presents an application, based in an intelligent system that explores the cooperativity of Facebook users so that, by data mining, get a navigable map that points out the most recent transit events reported by users. Thus, it is expected to contribute with useful information that helps any user to take decisions about the best path to be performed for his locomotion, avoiding, for example, traffic jams or accidents that are blocking roads they normally use.
Keywords :
Internet; data mining; road traffic; social networking (online); Facebook; Internet; data mining; intelligent system; posted messages; social networks; traffic information generation; Bayesian methods; Bills of materials; Data mining; Facebook; Manuals; Twitter; collaboration; data extraction; data mining; social network; text classification;
Conference_Titel :
Collaborative Systems (SBSC), 2012 Brazilian Symposium on
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4673-4696-2
DOI :
10.1109/SBSC.2012.25