Modeling Decisions for Artificial Intelligence - 14th International Conference, MDAI 2017, Kitakyushu, Japan, October 18-20, 2017, Proceedings (Paperback, 1st ed. 2017)


This book constitutes the proceedings of the 14th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2017, held in Kitakyushu, Japan, in October 2017.The 18 revised full papers presented together with one invited paper and three abstracts of invited talks were carefully reviewed and selected from 30 submissions. Providing a forum for researchers to discuss models for decision and information fusion (aggregation operators) and their applications to AI, the papers are organized in topical sections on aggregation operators, fuzzy measures and integrals; clustering and classication; data privacy and security; data mining and applications.

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Product Description

This book constitutes the proceedings of the 14th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2017, held in Kitakyushu, Japan, in October 2017.The 18 revised full papers presented together with one invited paper and three abstracts of invited talks were carefully reviewed and selected from 30 submissions. Providing a forum for researchers to discuss models for decision and information fusion (aggregation operators) and their applications to AI, the papers are organized in topical sections on aggregation operators, fuzzy measures and integrals; clustering and classication; data privacy and security; data mining and applications.

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Product Details

General

Imprint

Springer International Publishing AG

Country of origin

Switzerland

Series

Lecture Notes in Artificial Intelligence, 10571

Release date

September 2017

Availability

Supplier out of stock. If you add this item to your wish list we will let you know when it becomes available.

First published

2017

Editors

, , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

235

Edition

1st ed. 2017

ISBN-13

978-3-319-67421-6

Barcode

9783319674216

Categories

LSN

3-319-67421-8



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