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In this paper, we propose a novel evaluation method for defect prediction in object-oriented software systems. For each metric to evaluate, we start by applying it to the dependency graph extracted from the target software system, and obtain a list of classes ordered by their predicted degree of defect under that metric. By utilizing the actual defect data mined from the subversion database, we evaluate...
Naive Bayes Classifiers have been known with the advantages of high efficiency and good classification accuracy and they have been widely used in many domains. However, the classifiers need complete data. And the phenomenon of missing data widely exists in practice. Facing this instance, learning naive Bayes classifier and classification method with missing data are built in this paper. Compared with...
Authorization takes a significant role in grid security, and the function of the agent is more and more obvious in the grid environment. However, some popular grid toolkits (e.g., Globus) do not support agent technology. In order to enhance the real-time validity of the authorization process, lighten the userspsila burden, reduce the cost of management and apply intelligent authorization, this paper...
Multi-scale representations for geographical entities is one of research focuses in the field of multi-scale spatial database, Compared with the traditional GIS model, the essential modeling mechanism and strategies for building multi-scale data model are explored. Taken the road feature as an example, a detailed description of multi-representation model elements in the multi-scale model are provided,...
Inter-connectivity maintenance among multi-representations exists as a foundational task in building multi-scale data model, however, the existing methods are still not satisfactory in practice. In this context, the paper considers that the inter-connectivity among multiple representations can be only achieved if the multi-scale model is capable of explicitly inter-relating them and dealing with their...
The recent advance of data mining technology to analyze vast amount of data has played an important role in marketing business, despite its benefits in such areas, data mining also opens new threats to privacy and information security if not done or used properly. The main problem is that from non-sensitive data, one is able to infer sensitive information, including personal information, fact or even...
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