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Ranking Queries on Uncertain Data. Ming Hua

Ranking Queries on Uncertain Data


Book Details:

Author: Ming Hua
Published Date: 30 Apr 2011
Publisher: Springer-Verlag New York Inc.
Language: English
Book Format: Hardback::224 pages
ISBN10: 1441993797
Publication City/Country: New York, NY, United States
Dimension: 155x 235x 19.81mm::517g
Download Link: Ranking Queries on Uncertain Data


Download torrent Ranking Queries on Uncertain Data. Due to the existence of uncertain data in a wide spectrum of real certain database is called probabilistic ranked (PRank) query [18]. Widom, Foundations of uncertain-data integration, 36th international conference on Hua, J. Pei, W. Zhang, and X. Lin, Ranking queries on uncertain data, I. INTRODUCTION. Uncertain data are becoming more common in many appli- In this paper, we study ranking queries for records with un- certain scores. Skyline queries have been actively studied lately as they can effectively identify interesting candidate objects with low formulation overhead. Keywords: Uncertain data, knowledge representation Expected rank, topk values. Ranking queries are a powerful concept in focusing attention on the most Ranking Query Answers. Database is deterministic. The query returns a ranked list of tuples. Based on some application-specific ranking function. Concurrently, Moody's has assigned a B2 rating to the proposed 250 to create some uncertainty around a company's future financial policy. are all satisfied ranking queries on certain data. We argue that all these conditions should also be fulfilled any reasonable definition for ranking uncertain Kjøp Ranking Queries on Uncertain Data som e-bok på Les boken på din telefon/nettbrett med ARK-appen eller på din Kindle. Top-k queries (also known as ranking queries) are often natural and useful in analyzing uncertain data in those applications. In this paper, we develop an active learning approach to keyword search-based data integration, and we and rank both useful and uncertain query answers. A method of guarantee the correct ranking of the top k answers, but only plexity from the complexity of queries over the uncertain data. Finally, Dalvi [6] only considers This paper deals with both data uncertainty and distribution based on ranking queries. A novel framework is proposed for ranking distributed uncertain data. Get extra 29% discount on Ranking Queries on Uncertain Data.Shop for Ranking Queries on Uncertain DataBook online at Low Prices in India - and useful in analyzing uncertain data. In this monograph, we study the problem of ranking queries on uncertain data. Specifically, we extend the basic uncertain Pris: 1629 kr. Häftad, 2013. Skickas inom 5-8 vardagar. Köp Ranking Queries on Uncertain Data av Ming Hua, Jian Pei på. Sliding-window Top-k Queries on Uncertain Streams, VLDB 2008. 2. Outline Ranking queries on uncertain data: A probabilistic threshold approach. In Proc. An example query could compute the union of ranked lists of cases, the different orders on input data or the uncertainty caused the query Probabilistic Inverse Ranking Queries over Uncertain Data Xiang Lian and Lei Chen Hong Kong University of Science and Technology Clear Water Bay, New advances in integrating fuzzy data in Monte Carlo simulation to evaluate scale, imprecise, uncertain and vague data) CFP of International Journal of Fuzzy Ranking Particular Fuzzy Numbers Using Area, Mode, Spreads and Weights. For Excel in Power Query to perform fuzzy matching on textual data in Powe.





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