Enterprises need data quality management (DQM) to respond to strategic and operational challenges demanding high-quality corporate data. Hitherto, companies have assigned accountabilities for DQM mostly to IT departments. They have thereby ignored the organizational issues that are critical to the success of DQM. With data governance, however, companies implement corporate-wide accountabilities...

Abstract — This paper proposes a novel approach to voltage security assessment exploiting non-parametric regression techniques to extract simple and at the same time reliable models of the severity of a contingency, defined as the difference between preand postcontingency load power margins. The regression techniques extract information from large sets of possible operating conditions of a powe...

The authors previously described a procedure that permits rapid, multiple within-participant evaluations of contingency assessment (the "streamed-trial" procedure, M. J. C. Crump, S. D. Hannah, L. G. Allan, & L. K. Hord, 2007). In the present experiments, they used the streamed-trial procedure, combined with the method of constant stimuli and a binary classification response, to assess the psyc...

Although much has been written about validating DSS and other ‘hard’ OR models, less has been written about validating ‘soft’ OR models. This paper seeks to determine which contingency factors known to influence DSS validation are also important factors influencing PSM (problem structuring methods) validation. In addition, after consultation with PSM experts other contingency factors influencin...

Transportation and supply chain activities represent essential components in many endeavors covering both public and private domains. However, the underlying transport networks are complex and potentially fragile due to weather, natural disasters or other risk factors. Thus, assessing transportation related risk represents a key decision support capability along with the ability to evaluate con...

We propose in this paper a new approach for applying data mining algorithms, and more particularly supervised machine learning algorithms, to large databases, in acceptable response times. This goal is achieved by integrating these algorithms within a Database Management System. We are thus only limited by disk capacity, and not by available main memory. However, the disk accesses that are nece...

In this paper a Markov chain for contingency tables with two rows is deened. The chain is shown to be rapidly mixing using the path coupling method. The mixing time of the chain is quadratic in the number of columns and linear in the logarithm of the table sum. Two extensions of the new chain are discussed: one for three-rowed contingency tables and one for m-rowed contingency tables. We show t...