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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Springer - Verlag
2011
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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 |
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Thư viện Trường Đại học Đà Lạt |
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English |
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Tin học Database |
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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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1757676622593392640 |