This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...
Many websites with a large user base, e.g., websites of nonprofit organizations, do not have the financial means to install large web-servers or use specialized content distributi...
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Knowledge Discovery in Databases (KDD), also known as data mining, focuses on the computerized exploration of large amounts of data and on the discovery of interesting patterns wi...
Background: Translational research requires taking basic science observations and developing them into clinically useful tests and therapeutics. We have developed a process to dev...
Robert Kim, Francesca Demichelis, Jeffery Tang, Al...