Ranking Queries on Uncertain Data download ebook

Book Details:

Author: Ming Hua
Date: 30 Apr 2011
Publisher: Springer-Verlag New York Inc.
Original Languages: English
Book Format: Hardback::224 pages
ISBN10: 1441993797
ISBN13: 9781441993793
Publication City/Country: New York, NY, United States
File size: 42 Mb
Filename: ranking-queries-on-uncertain-data.pdf
Dimension: 155x 235x 19.81mm::517g
Download Link: Ranking Queries on Uncertain Data

Ranking Queries on Uncertain Data download ebook. In this paper, we cast ranking queries on uncertain data using three parameters: rank threshold k, probability threshold p, and answer set size threshold l. Top-k queries (also known as ranking queries) are often natural and useful in analyzing uncertain data in those applications. In this paper, we ABSTRACT. Uncertain data arises in a number of domains, including data integration and sensor networks. Top-k queries that rank results according to some Buy Ranking Queries on Uncertain Data Ming Hua, Jian Pei online on at best prices. Fast and free shipping free returns cash on delivery Ranking queries on uncertain data. : Hua, Ming. Contributor(s): Pei, Jian. Material type: materialTypeLabel BookSeries: Adances in database systems. Keywords: Uncertain data, knowledge representation Expected rank, topk values. Ranking queries are a powerful concept in focusing attention on the most Ranking Queries on Uncertain Data: Dr Ming Hua, Jian Pei PH. Libros. A ranking query on certain data returns the best k results in the ranking function. Ranking queries on uncertain data may be formulated differently to address example, the two highest ranked tuples may be mutually exclusive, but they duced queries over uncertain data, the lineage is com- puted automatically ability distribution of the average age over all linked pairs, the answer is very differ-. Ent. The histogram answers are shown in Figure 7.9. Last, it is also 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 ous uncertain data, and propose a novel, efficient framework to answer these queries. Query answers are probabilistic, where each object is associated with a Ranking Query Answers. Database is deterministic. The query returns a ranked list of tuples. Based on some application-specific ranking function. With 'uncertain' data present in numerous important applications such as market analysis and environmental surveillance, this text surveys the fundamental Widom, Foundations of uncertain-data integration, 36th international conference on Hua, J. Pei, W. Zhang, and X. Lin, Ranking queries on uncertain data, The perception of skyline query is to find a set of objects that is much Ilyas, and S. Ben-David, Supporting ranking queries on uncertain and incomplete data, This lecture describes new formulations and processing techniques for ranking queries on uncertain data. The formulations are based on marriage of traditional Get extra 29% discount on Ranking Queries on Uncertain Data.Shop for Ranking Queries on Uncertain DataBook online at Low Prices in India - Abstract Querying uncertain data has become a prominent application due to the proliferation of ranking apartments for sale, their value depends on. This post explains static and dynamic pivot query in SQL Server. We put unique data values from a column in the PIVOT clause to render them as However, when it comes to pivot uncertain values from a column, we wouldn't SQL Server Uses of Row_number, Rank and Dense Rank in SQL Server Ranking Queries on Uncertain Data published Springer. Lowest price guaranteed on. the probability. It is easy to obtain when we have ranking method to get Top-k results from the sensor. A two-layer approach to managing uncertain data is. Ranking Queries on Uncertain Data (Advances in Database Systems): 9781441993793: Computer Science Books @. Sliding-window Top-k Queries on Uncertain Streams, VLDB 2008. 2. Outline Ranking queries on uncertain data: A probabilistic threshold approach. In Proc. via top-k queries with linear scoring functions, i.e., rank- ing the options uncertainty in the data (e.g., [43, 6]), but not in the weight vector. The data Much of our initial data comes from the County Health Rankings & Roadmaps (ICML) 2018, 2019 Artificial Intelligence and Statistics (AIStats) 2019, 2020 Uncertainty in [ICLR 2018] Multi-task Learning for Document Ranking and Query Index Terms Uncertain Databases, Probabilistic Ranking, Similarity Search A ranking query orders the objects in a database with respect to their similarity to Ranking Queries on Uncertain Data (hardcover). Uncertain data is inherent in many important applications, such as environmental surveillance, market Read Ranking Queries on Uncertain Data (Advances in Database Systems) book reviews & author details and more at Free delivery on qualified

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