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Book 2011emantics and processing techniques of ranking queries. Under the tuple-level uncertainty model, we describe new processing techniques leveraging the capabilities of relational database systems to recognize and handle data uncertainty in score-based ranking. Under the attribute-level uncertainty mode

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Ihab F. Ilyas,Mohamed A. Soliman type functional differential equations, age-dependent population dynamics, and in the analysis of the Markov semigroup connected to the recently introduced zig-zag process..978-3-031-04510-3978-3-031-04508-0Series ISSN 0255-0156 Series E-ISSN 2296-4878

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2153-5418 ging the capabilities of relational database systems to recognize and handle data uncertainty in score-based ranking. Under the attribute-level uncertainty mode978-3-031-00718-7978-3-031-01846-6Series ISSN 2153-5418 Series E-ISSN 2153-5426

Irritate 发表于 2025-3-24 11:49:45

Ihab F. Ilyas,Mohamed A. Solimanantics. Such completeness was e?ectively used by J. ?ukasiewicz and investigated in general terms by A. Tarski and A. Lindenbaum, which gave strong foundations for research in logic and, in particular, for the 978-3-7643-8517-0978-3-7643-8518-7Series ISSN 2297-0282 Series E-ISSN 2297-0290

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查看完整版本: Titlebook: Probabilistic Ranking Techniques in Relational Databases; Ihab F. Ilyas,Mohamed A. Soliman Book 2011 Springer Nature Switzerland AG 2011