Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip...
Mining subgraphs is an area of research where we have a given set of graphs, and we search for (connected) subgraphs contained in these graphs. In this paper we focus on the analy...
Edgar H. de Graaf, Walter A. Kosters, Joost N. Kok...
The privacy concerns associated with data analysis over social networks have spurred recent research on privacypreserving social network analysis, particularly on privacypreservin...
We consider prediction-model evaluation in the context of marketing-campaign planning. In order to evaluate and compare models with specific campaign objectives in mind, we need t...
Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vat...
Class imbalance is a ubiquitous problem in supervised learning and has gained wide-scale attention in the literature. Perhaps the most prevalent solution is to apply sampling to t...