The assessment of behavioral rules with respect to a given dataset is key in several research areas, including declarative process mining, association rule and specification mining. An required check how well set discovered describes the input data, determine what extent data complies predefined rules. Particularly Support Confidence are used most often, yet they reportedly unable provide suffi...

Traffic congestion event prediction is an important yet challenging task in intelligent transportation systems. Many existing works about traffic integrate various temporal encoders and graph convolution networks (GCNs), called spatio-temporal graph-based neural networks, which focus on predicting dense variables such as flow, speed demand time snapshots, but they can hardly forecast the events...