Software evolution visualization is a promising technique for assessing the software development process. We study how complex correlations of software evolution attributes can be...
This paper presents an association rule mining system that is capable of handling set-valued attributes. Our previous research has exposed us to a variety of real-world biological ...
Most of current machine vision systems suffer from a lack of flexibility to account for the high variability of unstructured environments. Here, as the state of the world evolves ...
– The current approaches for linking information across sources, often called record linkage, require finding common attributes between the sources and comparing the records usin...
We present three systems for surface natural language generation that are trainable from annotated corpora. The first two systems, called NLG1 and NLG2, require a corpus marked on...