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Systematic assessment and documentation of extensive livestock production systems are necessary to design or review breeding programs, extension services, and policies. This study therefore examined management practices and challenges concerning village chicken production in the Upper River Region of the Gambia. The data gathered with 45-variable semi-structured questionnaires were analyzed based...
Software architectures are often made to evolve due to changing user needs and/or to execution environment. The paper addresses the problem of ensuring consistency in dynamically changing software systems. The proposed approach uses a runtime megamodel which represents the architectural model of the running system and is used as a basis for model management and for changes representation. For this...
In their mission of collecting, analyzing and disseminating statistic data, the National Institutes of Statistics are more and more confronted with personal data management. With the advent of the “Open Data” [1], the need for data diffusion and to establish a link between databases created during the surveys and censuses, are necessary for planning, monitoring and activities evaluation, in a context...
In Data Mining (DM) projects, more specifically in the Data Understanding and the Data Preparation phases, several techniques found in the literature are used to detect and handle data quality problems such as missing data, outliers, inconsistent data or time-variant data. However, the main limitation in the application of these techniques is the complexity caused by a lack of anticipation in the...
Based on the state of the art of process mining, we can conclude that quality characteristics (failure rate metrics or loops) are poorly represented or absent in most predictive models that can be found in the literature. The main goal of this present research work is to analyze how to learn prediction model defining failure as response variable. A model of this type can be used for active real-time-controlling...
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