Process-aware information systems (PAIS) are designed to manage and support business processes within an organization. Drift detection in process mining aims to detect process changes by analyzing event logs, which can guarantee the accuracy and reliability of business processes within PAIS. However, existing methods often only consider process changes from a single perspective (e.g., control-flow), without fully utilizing other information in event logs like resources and timestamps. In this paper, we propose a novel Multi-view Drift Detection method, called MDD, to detect changes with graph convolutional networks. Specifically, 1) multiple k-nearest neighbors graphs are constructed for two log segments based on multiple perspectives, and graph convolutional networks are employed to capture features from these graphs. Meanwhile, we utilize a fully connected network to fuse multiple knn graphs, generating two fusion graphs; 2) we use Wasserstein distance to measure the distance between two fusion graphs after feature fusion; 3) the K-means algorithm is adopted to find the candidate drift points, and then the actual change points will be identified with a filter mechanism. Experimental results demonstrate that the MDD effectively identifies drift points on simulated logs and real-life logs.

The clustering of platelet glycoprotein receptors with cytosolic YxxL and YxxM motifs, including GPVI, CLEC-2 and PEAR1, triggers activation via phosphorylation of the conserved tyrosine residues and recruitment of the tandem SH2 (Src homology 2) domain effector proteins, Syk and PI 3-kinase. We have modelled the clustering of these receptors with monovalent, divalent and tetravalent soluble ligands and with transmembrane ligands based on the law of mass action using ordinary differential equations and agent-based modelling. The models were experimentally evaluated in platelets and transfected cell lines using monovalent and multivalent ligands, including novel nanobody-based divalent and tetravalent ligands, by fluorescence correlation spectroscopy. Ligand valency, receptor number, receptor dimerisation, receptor phosphorylation and a cytosolic tandem SH2 domain protein act in synergy to drive receptor clustering. Threshold concentrations of a CLEC-2-blocking antibody and Syk inhibitor act in synergy to block platelet aggregation. This offers a strategy for countering the effect of avidity of multivalent ligands and in limiting off-target effects.