Discovering links between different data items in a single data source or across different data sources is a challenging problem faced by many information systems today. In partic...
In this paper, we present a framework for online discovery of semantic links from relational data. Our framework is based on declarative specification of the linkage requirements ...
Weak causal relationships and small sample size pose two significant difficulties to the automatic discovery of causal models from observational data. This paper examines the infl...
Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xind...
Using a ground truth extracted from the Wikipedia, and a ground truth created through manual assessment, we show that the apparent performance advantage seen in machine learning a...
We propose a new parallel topology discovery algorithm for irregular, mesh-connected networks with unidirectional links and wormhole routing. An algorithm of this type was develop...