Scalable Uncertainty Management: Second International Conference, SUM 2008, Naples, Italy, October 1-3, 2008, Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)

Cover image : Scalable Uncertainty Management: Second International Conference, SUM 2008, Naples, Italy, October 1-3, 2008, Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)

商品情報

ASIN
3540879927
発売日
2008-11-19
Amazon.co.jp(Japan)の商品情報
Scalable Uncertainty Management: Second International Conference, SUM 2008, Naples, Italy, October 1-3, 2008, Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Amazon.com(USA)の商品情報
Scalable Uncertainty Management: Second International Conference, SUM 2008, Naples, Italy, October 1-3, 2008, Proceedings (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
Amazon.de(Germany)の商品情報
Scalable Uncertainty Management: Second International Conference, SUM 2008, Naples, Italy, October 1-3, 2008, Proceedings (Lecture Notes in Computer Science)
Amazon.fr(France)の商品情報
Scalable Uncertainty Management: Second International Conference, Sum 2008, Naples, Italy, October 1-3, 2008, Proceedings
Amazon.co.ukの商品情報
Scalable Uncertainty Management (Lecture Notes in Computer Science) (Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence)
EAN
9783540879923
ページ数
401ページ
制作者
Sergio Greco
Thomas Lukasiewicz
商品種別 ( Product Group )
Book - ペーパーバック
レーベル ( Label )
Springer-Verlag New York Inc (C)

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Product Description

This book constitutes the refereed proceedings of the Second International Conference on Scalable Uncertainty Management, SUM 2008, held in Naples, Italy, in Oktober 2008.

The 27 revised full papers presented together with the extended abstracts of 3 invited talks/tutorials were carefully reviewed and selected from 42 submissions. The papers address artificial intelligence researchers, database researchers, and practitioners to demonstrate theoretical techniques required to manage the uncertainty that arises in large scale real world applications and to cope with large volumes of uncertainty and inconsistency in databases, the Web, the semantic Web, and artificial intelligence in general.


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