Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 3642239633
Total Pages : 562 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Scalable Uncertainty Management by : Salem Benferhat

Download or read book Scalable Uncertainty Management written by Salem Benferhat and published by Springer. This book was released on 2011-10-07 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Scalable Uncertainty Management, SUM 2011, held in Dayton, OH, USA, in October 2011. The 32 revised full papers and 3 revised short papers presented together with the abstracts of 2 invited talks and 6 “discussant” contributions were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on argumentation systems, probabilistic inference, dynamic of beliefs, information retrieval and databases, ontologies, possibility theory and classification, logic programming, and applications.

Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 3030004619
Total Pages : 413 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Scalable Uncertainty Management by : Davide Ciucci

Download or read book Scalable Uncertainty Management written by Davide Ciucci and published by Springer. This book was released on 2018-09-24 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Scalable Uncertainty Management, SUM 2018, which was held in Milan, Italy, in October 2018. The 23 full, 6 short papers and 2 tutorials presented in this volume were carefully reviewed and selected from 37 submissions. The conference is dedicated to the management of large amounts of complex, uncertain, incomplete, or inconsistent information. New approaches have been developed on imprecise probabilities, fuzzy set theory, rough set theory, ordinal uncertainty representations, or even purely qualitative models.

Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 3319458566
Total Pages : 361 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Scalable Uncertainty Management by : Steven Schockaert

Download or read book Scalable Uncertainty Management written by Steven Schockaert and published by Springer. This book was released on 2016-08-29 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Scalable Uncertainty Management, SUM 2016, held in Nice, France, in September 2016. The 18 regular papers and 5 short papers were carefully reviewed and selected from 35 submissions. Papers are solicited in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include (but are not restricted to) applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 3642403816
Total Pages : 387 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Scalable Uncertainty Management by : Weiru Liu

Download or read book Scalable Uncertainty Management written by Weiru Liu and published by Springer. This book was released on 2013-09-10 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th International Conference on Scalable Uncertainty Management, SUM 2013, held in Washington, DC, USA, in September 2013. The 26 revised full papers and 3 revised short papers were carefully reviewed and selected from 57 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 3642043887
Total Pages : 309 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Scalable Uncertainty Management by : Lluis Godo

Download or read book Scalable Uncertainty Management written by Lluis Godo and published by Springer. This book was released on 2009-08-29 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the Third International Conference on Scalable Uncertainty Management, SUM 2009, in Washington, DC, September 28-30, 2009. It contains 21 technical papers which were selected out of 30 submitted papers in a rigourous reviewing process. The volume also contains extended abstracts of two invited talks. The volume reflects the growing interest in uncertainty and incosistency and aims at bringing together all those interested in the management of uncertainty and inconsistency at large.

Scalable Uncertainty Management

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Publisher : Springer Nature
ISBN 13 : 3030584496
Total Pages : 305 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Scalable Uncertainty Management by : Jesse Davis

Download or read book Scalable Uncertainty Management written by Jesse Davis and published by Springer Nature. This book was released on 2020-09-16 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 14th International Conference on Scalable Uncertainty Management, SUM 2020, which was held in Bozen-Bolzano, Italy, in September 2020. The 12 full, 7 short papers presented in this volume were carefully reviewed and selected from 30 submissions. Besides that, the book also contains 2 abstracts of invited talks, 2 tutorial papers, and 2 PhD track papers. The conference aims to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as artificial intelligence and machine learning, databases, information retrieval and data mining, the semantic web and risk analysis. Due to the Corona pandemic SUM 2020 was held as an virtual event.

Scalable Uncertainty Management

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Publisher : Springer Nature
ISBN 13 : 3030355144
Total Pages : 462 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Scalable Uncertainty Management by : Nahla Ben Amor

Download or read book Scalable Uncertainty Management written by Nahla Ben Amor and published by Springer Nature. This book was released on 2019-12-02 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Scalable Uncertainty Management, SUM 2019, which was held in Compiègne, France, in December 2019. The 25 full, 4 short, 4 tutorial, 2 invited keynote papers presented in this volume were carefully reviewed and selected from 44 submissions. The conference is dedicated to the management of large amounts of complex, uncertain, incomplete, or inconsistent information. New approaches have been developed on imprecise probabilities, fuzzy set theory, rough set theory, ordinal uncertainty representations, or even purely qualitative models.

Scalable Uncertainty Management

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Publisher : Springer Science & Business Media
ISBN 13 : 3540879927
Total Pages : 411 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Scalable Uncertainty Management by : Sergio Greco

Download or read book Scalable Uncertainty Management written by Sergio Greco and published by Springer Science & Business Media. This book was released on 2008-09-19 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 3319115081
Total Pages : 322 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Scalable Uncertainty Management by : Umberto Straccia

Download or read book Scalable Uncertainty Management written by Umberto Straccia and published by Springer. This book was released on 2014-09-08 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Conference on Scalable Uncertainty Management, SUM 2014, held in Oxford, UK, in September 2014. The 20 revised full papers and 6 revised short papers were carefully reviewed and selected from 47 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 3319675826
Total Pages : 438 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Scalable Uncertainty Management by : Serafín Moral

Download or read book Scalable Uncertainty Management written by Serafín Moral and published by Springer. This book was released on 2017-09-20 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Scalable Uncertainty Management

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Publisher : Springer Science & Business Media
ISBN 13 : 3642159508
Total Pages : 399 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Scalable Uncertainty Management by : Amol Deshpande

Download or read book Scalable Uncertainty Management written by Amol Deshpande and published by Springer Science & Business Media. This book was released on 2010-09-27 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Scalable Uncertainty Management, SUM 2010, held in Toulouse, France, in September 2010. The 26 revised full papers presented together with the abstracts of 2 invited talks and 6 “discussant” contributions were carefully reviewed and selected from 32 submissions. The papers cover all areas of managing substantial and complex kinds of uncertainty and inconsistency in data and knowledge, including applications in decision-support systems, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, text mining, and data mining, and consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 3642333621
Total Pages : 648 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Scalable Uncertainty Management by : Eyke Hüllermeier

Download or read book Scalable Uncertainty Management written by Eyke Hüllermeier and published by Springer. This book was released on 2012-09-11 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th International Conference on Scalable Uncertainty Management, SUM 2012, held in Marburg, Germany, in September 2012. The 41 revised full papers and 13 revised short papers were carefully reviewed and selected from 75 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Scalable Uncertainty Management

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Publisher : Springer Nature
ISBN 13 : 3031188438
Total Pages : 374 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Scalable Uncertainty Management by : Florence Dupin de Saint-Cyr

Download or read book Scalable Uncertainty Management written by Florence Dupin de Saint-Cyr and published by Springer Nature. This book was released on 2022-10-14 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Conference on Scalable Uncertainty Management, SUM 2022, which was held in Paris, France, in October 2022. The 19 full and 4 short papers presented in this volume were carefully reviewed and selected from 25 submissions. Besides that, the book also contains 3 abstracts of invited talks and 2 tutorial papers. The conference aims to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as artificial intelligence and machine learning, databases, information retrieval and data mining, the semantic web and risk analysis. The chapter "Defining and Enforcing Descriptive Accuracy in Explanations: the Case of Probabilistic Classifiers" is licensed under the terms of the Creative Commons Attribution 4.0 International License.

Scalable Uncertainty Management

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Publisher : Springer Science & Business Media
ISBN 13 : 3540754075
Total Pages : 286 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Scalable Uncertainty Management by : Henri Prade

Download or read book Scalable Uncertainty Management written by Henri Prade and published by Springer Science & Business Media. This book was released on 2007-09-27 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Scalable Uncertainty Management, SUM 2007, held in Washington, DC, USA, in October 2007. The 20 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers address artificial intelligence researchers, database researchers and practitioners.

Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 9783642239649
Total Pages : 562 pages
Book Rating : 4.2/5 (396 download)

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Book Synopsis Scalable Uncertainty Management by : Salem Benferhat

Download or read book Scalable Uncertainty Management written by Salem Benferhat and published by Springer. This book was released on 2012-02-29 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Scalable Uncertainty Management, SUM 2011, held in Dayton, OH, USA, in October 2011. The 32 revised full papers and 3 revised short papers presented together with the abstracts of 2 invited talks and 6 “discussant” contributions were carefully reviewed and selected from 58 submissions. The papers are organized in topical sections on argumentation systems, probabilistic inference, dynamic of beliefs, information retrieval and databases, ontologies, possibility theory and classification, logic programming, and applications.

Scalable Uncertainty Management

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Publisher :
ISBN 13 : 9783642159527
Total Pages : 590 pages
Book Rating : 4.1/5 (595 download)

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Book Synopsis Scalable Uncertainty Management by : Amol Deshpande

Download or read book Scalable Uncertainty Management written by Amol Deshpande and published by . This book was released on 2010 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing uncertainty and inconsistency has been extensively explored in - ti?cial Intelligence over a number of years. Now with the advent of massive amounts of data and knowledge from distributed heterogeneous,and potentially con?icting, sources, there is interest in developing and applying formalisms for uncertainty andinconsistency widelyin systems that need to better managethis data and knowledge. The annual International Conference on Scalable Uncertainty Management (SUM) has grown out of this wide-ranging interest in managing uncertainty and inconsistency in databases, the Web, the Semantic Web, and AI. It aims at bringing together all those interested in the management of large volumes of uncertainty and inconsistency, irrespective of whether they are in databases,the Web, the Semantic Web, or in AI, as well as in other areas such as information retrieval, risk analysis, and computer vision, where signi?cant computational - forts are needed. After a promising First International Conference on Scalable Uncertainty Management was held in Washington DC, USA in 2007, the c- ference series has been successfully held in Napoli, Italy, in 2008, and again in Washington DC, USA, in 2009.

Scalable Uncertainty Management

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Publisher : Springer
ISBN 13 : 3319235400
Total Pages : 421 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Scalable Uncertainty Management by : Christoph Beierle

Download or read book Scalable Uncertainty Management written by Christoph Beierle and published by Springer. This book was released on 2015-09-15 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Scalable Uncertainty Management, SUM 2015, held in Québec City, QC, Canada, in September 2015. The 25 regular papers and 3 short papers were carefully reviewed and selected from 49 submissions. The call for papers for SUM 2015 solicited submissions in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.