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Preference query analysis and optimi...

Gao, Yunjun.

Preference query analysis and optimization

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Preference query analysis and optimization/ by Yunjun Gao, Qing Liu.
作者:	Gao, Yunjun.
其他作者:	Liu, Qing.
出版者:	Singapore :Springer Singapore : : 2017.,
面頁冊數:	xi, 110 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Querying (Computer science) -
電子資源:	http://dx.doi.org/10.1007/978-981-10-6635-1
ISBN:	9789811066351

Preference query analysis and optimization
Gao, Yunjun.

Preference query analysis and optimization[electronic resource] /by Yunjun Gao, Qing Liu. - Singapore :Springer Singapore :2017. - xi, 110 p. :ill. (some col.), digital ;24 cm. - Springerbriefs in computer science,2191-5768. - Springerbriefs in computer science..

This book analyzes unexpected preference query results for three problems: causality and responsibility problems, why-not and why questions, and why-few and why-many questions. Further, it refines preference queries and discusses how to modify the original preference query based on different objectives, in order to obtain satisfying results. This highly informative and carefully presented book provides valuable insights for researchers, postgraduates and practitioners with an interest in database usability.

ISBN: 9789811066351

Standard No.: 10.1007/978-981-10-6635-1doiSubjects--Topical Terms:

785780
Querying (Computer science)

LC Class. No.: QA76.9.D3

Dewey Class. No.: 005.74

Preference query analysis and optimization
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300 $a xi, 110 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springerbriefs in computer science, $x 2191-5768
520 $a This book analyzes unexpected preference query results for three problems: causality and responsibility problems, why-not and why questions, and why-few and why-many questions. Further, it refines preference queries and discusses how to modify the original preference query based on different objectives, in order to obtain satisfying results. This highly informative and carefully presented book provides valuable insights for researchers, postgraduates and practitioners with an interest in database usability.
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