Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Data mining with decision trees and decision rules
Future Generation Computer Systems - Special double issue on data mining
Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Introduction to the special issue on successful real-world data mining applications
ACM SIGKDD Explorations Newsletter
Semi-supervised time series classification
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Influencing Factors in Achieving Active Ageing
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
A user driven data mining process model and learning system
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Road crash proneness prediction using data mining
Proceedings of the 14th International Conference on Extending Database Technology
A data analytics application assessing pavement deflection factors for a road network
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services
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Road networks are a national critical infrastructure. The road assets need to be monitored and maintained efficiently as their conditions deteriorate over time. The condition of one of such assets, road pavement, plays a major role in the road network maintenance programmes. Pavement conditions depend upon many factors such as pavement types, traffic and environmental conditions. This paper presents a data analytics case study for assessing the factors affecting the pavement deflection values measured by the traffic speed deflectometer TSD device. The analytics process includes acquisition and integration of data from multiple sources, data pre-processing, mining useful information from them and utilising data mining outputs for knowledge deployment. Data mining techniques are able to show how TSD outputs vary in different roads, traffic and environmental conditions. The generated data mining models map the TSD outputs to some classes and define correction factors for each class.