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This paper describes a method for using new customer data integration and customer recognition technologies that have been developed in the private sector to solve the problem of anonymous entity resolution across multiple, non-shared data stores held in government agencies. In the method described, new commercial technologies that link records using(More)
This paper describes the workflow specification problem, how workflows are specified today, requirements for improved workflow specification, and begins to sketch a new domain-specific modeling language (DSML) approach for specifying intent that can be used to constructively generate a complete workflow meeting a collection of intent requirements. This is(More)
This paper investigates the applicability of the Neural Network approach for image quality assessment. The aim is to predict the subjective quality score, namely the difference mean opinion score (DMOS) obtained from human observers, by incorporating a neural network algorithmic approach utilizing extracted statistical features from test and original(More)
Many knowledge discovery in databases (KDD) could be applied to crime investigation. Unfortunately, most of them are ineffective and only provide postmortem results for the crime investigation. As we detect the suspicious events, the crime has been committed. Since many crime- and terrorism related activities often involve identity frauds, we have a very(More)
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