DocumentCode :
780394
Title :
Data mining, data fusion and information management
Author :
Shawe-Taylor, John ; De Bie, Tijl ; Cristianini, Nello
Author_Institution :
Centre for Comput. Stat. & Machine Learning, Univ. Coll. London
Volume :
153
Issue :
3
fYear :
2006
fDate :
9/1/2006 12:00:00 AM
Firstpage :
221
Lastpage :
229
Abstract :
The potential impact of advances in data mining, data fusion and information management on the efficient exploitation of the transport infrastructure are addressed. It is argued that the energy currently consumed in transport is poorly exploited for a number of reasons that the application of intelligent infrastructure analysis can significantly address: traffic congestion implies reduced fuel efficiency; the average number of people travelling per car is very low; and public/private transport combination options are difficult to plan. Relevant advances in intelligent information systems are reviewed, and a number of scenarios illustrating how these weaknesses might be addressed are presented. For each, the feasibility of the required technology and the timescales for deployment are discussed
Keywords :
data mining; information management; pattern recognition; sensor fusion; data fusion; data mining; information management; pattern analysis; text mining;
fLanguage :
English
Journal_Title :
Intelligent Transport Systems, IEE Proceedings
Publisher :
iet
ISSN :
1748-0248
Type :
jour
Filename :
1706437
Link To Document :
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