Highly regulated sectors face challenges on data and information quality management (DIQM) to conform to increasing regulations. With the financial service sector, as the most highly regulated industry, we are interested in current and future DIQM challenges. For a sustaining improvement, data quality should be managed process-driven. Process-driven data quality management (PDDQM) provides cont...

Data mediation is an essential component in the Modeling and Simulation field (M&S). Managing multiple data sources and exchanging data among multiple systems requires sophisticated tools and a powerful process management system. Business Process Management (BPM) provides a framework for modeling and managing business activities, both manual and automated, in a consistent manner. Managing autom...

[1] This paper describes the estimation of propagation loss and its statistical properties on the basis of observations of radar sea clutter data. This problem is solved by first finding an ensemble of relevant refractivity model parameters, and each refractivity model is weighted according to its data likelihood function. A parabolic equation propagation model is used both in mapping from envi...

Discrete Fourier transforms and other related Fourier methods have been practically implementable due to the fast Fourier transform (FFT). However there are many situations where doing fast Fourier transforms without complete data would be desirable. In this paper it is recognised that formulating the FFT algorithm as a belief network allows suitable priors to be set for the Fourier coefficient...

Clustering is a fundamental task in data mining. Affinity propagation clustering (APC) is an effective and efficient clustering technique that has been applied in various domains. APC iteratively propagates information between affinity samples, updates the responsibility matrix and availability matrix, and employs these matrices to choose cluster centers (or exemplars) of respective clusters. H...

Classification systems are designed to contain all concepts into which a given domain of knowledge, or the whole of knowledge, is organized. Concepts are represented by both verbal terms, and their notational equivalents. The latter are devised in such a way that their ordinal sequence produces a helpful arrangement of the classified items [Ranganathan 1967, section EP]. Thus, the simplest clas...

In order to assist companies dealing with data preparation problems, different approaches are developed to handle the dirty data. However, these firms are not able to predict the final outcome from the customer data, before running all the business process. This gives rise to an extra cost for the company at the end, if the data is highly corrupted. Therefore, in this paper; we propose a framew...

Space compaction of test responses provides parallel access to functional outputs and reduces testing time and test data volume. We present a new space compaction approach that only uses information about the fault-free responses for a precomputed test set . It is, therefore, especially suitable for embedded cores. It does not make any assumption about an underlying fault model, and it does not...

advantages and disadvantages of using “stokes parameters” in exploration of inertia-gravity wave properties are discussed in this paper. the survey is carried out on an inertia-gravity wave event (igws in what follows) that occurred over iran from 7 to 9 february 2012. applying this technique for investigation of atmospheric igws was recommended by vincent and fritts (1987) and then developed b...