Abstract. Model selection is an important problem in statistics, machine learning, and data mining. In this paper, we investigate the problem of enabling multiple parties to perfor...
We investigate the problem of mining closed sets in multi-relational databases. Previous work introduced different semantics and associated algorithms for mining closed sets in mu...
There is a need to develop methods to automatically incorporate prior knowledge to support the prediction and validation of novel functional associations. One such important sourc...
Francisco Azuaje, Haiying Wang, Huiru Zheng, Olivi...
This paper describes a computer component manufacturing scenario which concentrates on the application of data mining techniques to improve information management and process impr...
W. M. Gibbons, Mervi Ranta, T. M. Scott, Martti M&...
Abstract. Ontology is the talk of the day in the medical informatics comm.unity. Its relevant role in the design and implementation of information systems in health care is now wid...
Domenico M. Pisanelli, Francesco Pinciroli, Marco ...