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Scalable uncertainty management11th ...

(1998 :)

Scalable uncertainty management11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Scalable uncertainty managementedited by Serafin Moral ... [et al.].
其他題名:	11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017 : proceedings /
其他題名:	SUM 2017
其他作者:	Moral, Serafin.
團體作者:
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	xix, 438 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Uncertainty (Information theory)
電子資源:	http://dx.doi.org/10.1007/978-3-319-67582-4
ISBN:	9783319675824$q(electronic bk.)

Scalable uncertainty management11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017 : proceedings /
Scalable uncertainty management11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017 : proceedings /[electronic resource] :SUM 2017edited by Serafin Moral ... [et al.]. - Cham :Springer International Publishing :2017. - xix, 438 p. :ill., digital ;24 cm. - Lecture notes in computer science,105640302-9743 ;. - Lecture notes in computer science ;4891..

This book constitutes the refereed proceedings of the 11th International Conference on Scalable Uncertainty Management, SUM 2017, which was held in Granada, Spain, in October 2017. The 24 full and 6 short papers presented in this volume were carefully reviewed and selected from 35 submissions. The book also contains 3 invited papers. Managing uncertainty and inconsistency has been extensively explored in Artificial Intelligence over a number of years. Now, with the advent of massive amounts of data and knowledge from distributed, heterogeneous, and potentially conflicting sources, there is interest in developing and applying formalisms for uncertainty and inconsistency in systems that need to better manage this data and knowledge. The International Conference on Scalable Uncertainty (SUM) aims to provide a forum for researchers who are working on uncertainty management, in different communities and with different uncertainty models, to meet and exchange ideas.

ISBN: 9783319675824$q(electronic bk.)

Standard No.: 10.1007/978-3-319-67582-4doiSubjects--Topical Terms:

206405
Uncertainty (Information theory)

LC Class. No.: Q375

Dewey Class. No.: 003.54

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