Ranking Queries on Uncertain Data

Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of...

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Những tác giả chính: Hua, Ming, Pei, Jian
Định dạng: Sách
Ngôn ngữ:English
Được phát hành: Springer - Verlag 2011
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Truy cập trực tuyến:http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25947
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spelling oai:scholar.dlu.edu.vn:DLU123456789-259472012-03-03T04:33:28Z Ranking Queries on Uncertain Data Hua, Ming Pei, Jian Tin học Database Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task. Ranking queries (also known as top-k queries) are often natural and useful in analyzing uncertain data. Ranking Queries on Uncertain Data discusses the motivations/applications, challenging problems, the fundamental principles, and the evaluation algorithms of ranking queries on uncertain data. Theoretical and algorithmic results of ranking queries on uncertain data are presented in the last section of this book. Ranking Queries on Uncertain Data is the first book to systematically discuss the problem of ranking queries on uncertain data. 2011-09-21T08:11:35Z 2011-09-21T08:11:35Z 2011 Book 978-1-4419-9379-3 978-1-4419-9380-9 http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25947 en application/pdf Springer - Verlag
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Tin học
Database
spellingShingle Tin học
Database
Hua, Ming
Pei, Jian
Ranking Queries on Uncertain Data
description Uncertain data is inherent in many important applications, such as environmental surveillance, market analysis, and quantitative economics research. Due to the importance of those applications and rapidly increasing amounts of uncertain data collected and accumulated, analyzing large collections of uncertain data has become an important task. Ranking queries (also known as top-k queries) are often natural and useful in analyzing uncertain data. Ranking Queries on Uncertain Data discusses the motivations/applications, challenging problems, the fundamental principles, and the evaluation algorithms of ranking queries on uncertain data. Theoretical and algorithmic results of ranking queries on uncertain data are presented in the last section of this book. Ranking Queries on Uncertain Data is the first book to systematically discuss the problem of ranking queries on uncertain data.
format Book
author Hua, Ming
Pei, Jian
author_facet Hua, Ming
Pei, Jian
author_sort Hua, Ming
title Ranking Queries on Uncertain Data
title_short Ranking Queries on Uncertain Data
title_full Ranking Queries on Uncertain Data
title_fullStr Ranking Queries on Uncertain Data
title_full_unstemmed Ranking Queries on Uncertain Data
title_sort ranking queries on uncertain data
publisher Springer - Verlag
publishDate 2011
url http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/25947
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