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Author: Marie-Jeanne Lesot
Publisher: Springer Nature
ISBN: 3030501469
Category : Computers
Languages : en
Pages : 779
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Book Description
This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing.
Author: Marie-Jeanne Lesot
Publisher: Springer Nature
ISBN: 3030501469
Category : Computers
Languages : en
Pages : 779
Get Book
Book Description
This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing.
Author: Amol Deshpande
Publisher: Springer Science & Business Media
ISBN: 3642159508
Category : Computers
Languages : en
Pages : 399
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Book Description
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.
Author: Rob van Tulder
Publisher: Emerald Group Publishing
ISBN: 1802621652
Category : Business & Economics
Languages : en
Pages : 443
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Book Description
International Business in Times of Crisis classifies studies of crises relevant to international business research following a global pandemic which exposed systems failures and fragilities closely across global economic, financial, political, and social systems.
Author: Sergio Greco
Publisher: Springer
ISBN: 3540879935
Category : Computers
Languages : en
Pages : 401
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Book 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.
Author: Jie Tang
Publisher: Springer
ISBN: 3642258565
Category : Computers
Languages : en
Pages : 419
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Book Description
The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines.
Author: Marjolein B.A. van Asselt
Publisher: Springer Science & Business Media
ISBN: 9401725837
Category : Technology & Engineering
Languages : en
Pages : 444
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Book Description
This volume is intended to stimulate a change in the practice of decision support, advocating an interdisciplinary approach centred on both social and natural sciences, both theory and practice. It addresses the issue of analysis and management of uncertainty and risk in decision support corresponding to the aims of Integrated Assessment. A pluralistic method is necessary to account for legitimate plural interpretations of uncertainty and multiple risk perceptions. A wide range of methods and tools is presented to contribute to adequate and effective pluralistic uncertainty management and risk analysis in decision support endeavours. Special attention is given to the development of one such approach, the Pluralistic fRamework for Integrated uncertainty Management and risk Analysis (PRIMA), of which the practical value is explored in the context of the Environmental Outlooks produced by the Dutch Institute for Public Health and Environment (RIVM). Audience: This book will be of interest to researchers and practitioners whose work involves decision support, uncertainty management, risk analysis, environmental planning, and Integrated Assessment.
Author: Luciana Lazzeretti
Publisher:
ISBN: 9781035315758
Category :
Languages : en
Pages : 0
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Book Description
Delivering a global perspective, Clusters in Times of Uncertainty follows the transformation of clusters in a world defined by digital collaboration and green economies. In this innovative book, contributors deconstruct and compare examples from Japan and Europe to explore the opportunities and challenges that clusters present in our modern age. Experts from economics and regional studies highlight the potential of cluster ecosystems for sustainable growth and societal well-being. A diverse range of rigorous analyses are implemented to address pressing issues such as environmental concerns, circular economy practices, social inclusion, and digital technologies. Chapters feature international case studies ranging from the Sapporo Valley cluster in Japan, to Polish National Key Clusters, to collaborations between Asia, Europe, and Latin America. Overarching phenomena such as B Corps are examined, as well as the inclusion of arts and crafts to promote sustainable practices and to enrich the cultural fabric and overall competitiveness of creative clusters. Clusters in Times of Uncertainty is a valuable resource for understanding how clusters can foster resilient and sustainable economies. It provides creative insights and practical implications for academics studying economics of innovation, industrial and regional economics, and regional studies, as well as for policymakers and practitioners involved in regional development and economic growth.
Author: Charu C. Aggarwal
Publisher: CRC Press
ISBN: 1315360411
Category : Business & Economics
Languages : en
Pages : 654
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Book Description
Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as feature selection, agglomerative clustering, partitional clustering, density-based clustering, probabilistic clustering, grid-based clustering, spectral clustering, and nonnegative matrix factorization Domains, covering methods used for different domains of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering, high-dimensional clustering, and big data Variations and Insights, discussing important variations of the clustering process, such as semisupervised clustering, interactive clustering, multiview clustering, cluster ensembles, and cluster validation In this book, top researchers from around the world explore the characteristics of clustering problems in a variety of application areas. They also explain how to glean detailed insight from the clustering process—including how to verify the quality of the underlying clusters—through supervision, human intervention, or the automated generation of alternative clusters.
Author: Paul Andre Harris
Publisher: BRILL
ISBN: 9004138110
Category : Philosophy
Languages : en
Pages : 278
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Book Description
The essays in this volume all originated at the 2001 conference of the International Society for the Study of Time. The theme 'Time and Uncertainty' sounds redundant, but the contributions try to come to terms with the irreducible openness of time and the impermanence of life. The essays from various disciplines have been grouped around 'fracture and rupture' (grappling with time and uncertainty as a breach) and 'rapture and structure (solving uncertainty into pattern).
Author: John Gribbin
Publisher: Yale University Press
ISBN: 9780300083460
Category : Science
Languages : en
Pages : 276
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Book Description
"Gribbin takes us through the history of cosmological discoveries, focusing in particular on the seventy years since the Big Bang model of the origin of the universe. He explains how conflicting views of the age of the universe and stars converged in the 1990s because scientists (including Gribbin) were able to use data from the Hubble Space Telescope that measured distances across the universe."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved
