Title :
Granular Computing Applied to Data-Mining of Tunnel Information
Author :
Zhong, Luo ; Wu, Jun
Author_Institution :
Comput. Sci. & Technol. Sch., Wuhan Univ. of Technol., Wuhan
Abstract :
Granular Computing(GrC) is a new concept and novel approach to solve the complex problems and provide a method for massive data-mining in the field of artificial intelligence. This paper presents a novel method which combines the quotient space theory to the granular computing for analysis of the data warehouse and data mining .This method can manage city traffic information system effectively, so it is very meaningful to the city tunnel traffic information data processing .
Keywords :
data mining; artificial intelligence; data warehouse; data-mining; granular computing; traffic information system; tunnel information; Cities and towns; Classification tree analysis; Computer science; Computer science education; Data analysis; Data mining; Data warehouses; Educational technology; Problem-solving; Space technology;
Conference_Titel :
Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4244-3581-4
DOI :
10.1109/ETCS.2009.155
