Optimization of Weighted Sparse Decision Trees
In this project, we propose three efficient and effective algorithms to find optimal weighted sparse decision trees, with application to decision-making problems and causal inference.
Green Space and Happiness of Developed Countries
In this study, the statistical relationship between green space and happiness of developed countries has been investigated. We found that there is a correlation between urban green space and happiness, and this relationship becomes stronger among countries with higher GDP.
FirmTruss Community Search in Multilayer Networks
We present a new community model, based on network homophily, in networks with different kinds of relationships and node attributes.
FirmCore Decomposition of Multilayer Networks
We present a new family of dense subgraphs in multilayer networks, and show that it satisfies many of the nice properties of $k$-cores. Also, it has a polynomial time algorithm, making it a powerful tool for understanding the structure of massive networks.
Anomaly Detection in Multiplex Dynamic Networks
We work on an anomaly detection approach that not only detects suspicious behaviours with respect to one type of relationship but also can consider different types of relationships and find anomalous activities of each node with respect to its own type.