health databases contain a wide scope of clinical data to explore relationships and patterns that can lead to new medical knowledge.today, the emergence of integrated information systems and growth of information technologies have better highlighted the importance of such databases. data mining is among the technological advances toward data management whose integration with traditional methods...

Intelligence professionals need to determine quickly and accurately the “big picture” that connects disparate data points – i.e. link analysis. These connections can be found by matching the data points with a knowledge base of models encoding activities of interest. In this paper, we propose using a flexible semantic matcher to satisfy this matching requirement.

traditional leveraging statistical methods for analyzing today’s large volumes of spatial data have high computational burdens. to eliminate the deficiency, relatively modern data mining techniques have been recently applied in different spatial analysis tasks with the purpose of autonomous knowledge extraction from high-volume spatial data. fortunately, geospatial data is considered a proper s...

this paper discovers the necessary variables need for creating models for tacit knowledge acquisition, especially in medical care services. the case studied here, was knowledge of diagnosing and time of delivery in twin pregnancy with nuchal translucency screening. this paper covers the empirical work undertaken on semi-structured interview based on thematic analysis. with regard of theoretical...