Spatio-temporal patterns extracted from historical trajectories of moving objects reveal important knowledge about movement behavior for high quality LBS services. Existing approac...
Mining sequential rules from large databases is an important topic in data mining fields with wide applications. Most of the relevant studies focused on finding sequential rules a...
Philippe Fournier-Viger, Roger Nkambou, Vincent Sh...
Transportation and Logistics are a major sector of the economy, however data analysis in this domain has remained largely in the province of optimization. The potential of data mi...
Wei Jiang, Jaideep Vaidya, Zahir Balaporia, Chris ...
Data mining has been an area of increasing interests during recent years. The association rule discovery problem in particular has been widely studied. However, there are still so...
The availability and the accuracy of the data dictate the success of a data mining application. Increasingly, there is a need to resort to on-line data collection to address the p...