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内容説明
This book constitutes the refereed proceedings of the First International Conference on Scalable Uncertainty Management， SUM 2007， held in Washington， DC， USA， in October 2007. The 20 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers address artificial intelligence researchers， database researchers， and practitioners to demonstrate theoretical techniques required to manage the uncertainty that arises in large scale real world applications. The papers deal with the following topics: uncertainty models， probabilistic logics， fuzzy logics， and annotated logics， inconsistency logics， database algebras and calculi， scalable database systems， spatial， temporal， mobile and multimedia databases， as well as implementations， and applications.