Advances in knowledge discovery and data mining
Advances in knowledge discovery and 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
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
A data analytics case study assessing factors affecting pavement deflection values
International Journal of Business Intelligence and Data Mining
| Hi-index | 0.00 |
Road networks are a vital national property however, with the passage of time their condition deteriorates. It is critical for a road agency to know the various factors such as road conditions, traffic conditions, environmental conditions that affect the Road Pavement Deflection values. This paper proposes a data analytic application for assessing the road pavement condition. The data analytics process includes acquisition and integration of data from multiple sources, pre-processing the data and mining the useful information from the data. The generated data mining models are able to demonstrate factors that affect pavement deflection data. Outputs of this research inform the road managers about the road conditions and enable them in formulating an efficient e-government policy for budget and maintenance of this road asset.