Описание: The International Conference on Information Processing and Management of - certainty in Knowledge-Based Systems, IPMU, is organized every two years with the aim of bringing together scientists working on methods for the management of uncertainty and aggregation of information in intelligent systems.
Описание: Constitutes the proceedings of the 13th conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, held in Dortmund, Germany, in June 2010.
Автор: Amihai Motro; Philippe Smets Название: Uncertainty Management in Information Systems ISBN: 1461378656 ISBN-13(EAN): 9781461378655 Издательство: Springer Рейтинг: Цена: 32004.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As its title suggests, "Uncertainty Management in Information Systems" is a book about how information systems can be made to manage information permeated with uncertainty.
Автор: V.S. Alagar; S. Bergler; F.Q. Dong Название: Incompleteness and Uncertainty in Information Systems ISBN: 3540198970 ISBN-13(EAN): 9783540198970 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Contains papers presented at a workshop on the subject, held at Concordia University, Montreal, Canada in October 1993. The contributors discuss software aberrations, modelling uncertainty in object-oriented databases, the management of uncertainty in AI and much more.
Автор: Khalid Saeed; W?adys?aw Homenda; Rituparna Chaki Название: Computer Information Systems and Industrial Management ISBN: 3319591045 ISBN-13(EAN): 9783319591049 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the 16th IFIP TC8 International Conference on Computer Information Systems and Industrial Management, CISIM 2017, held in Bialystok, Poland, in June 2017. The 60 regular papers presented together with 5 keynotes were carefully reviewed and Selected from 85 submissions.
Описание: Reasoning under uncertainty is always based on a specified language or for- malism, including its particular syntax and semantics, but also on its associated inference mechanism. This is even to some degree reflected in the two first chapters, which treat fundamental, general methods of computation in systems designed to represent uncertainty.
Описание: This book constitutes the refereed proceedings of the 4th International Conference on Information Systems for Crisis Response and Management in Mediterranean Countries, ISCRAM-med 2017, held in Xanthi, Greece, in October 2017.
Автор: Ogiela, Lidia Dominika Название: Cognitive Information Systems in Management Sciences ISBN: 0128038039 ISBN-13(EAN): 9780128038031 Издательство: Elsevier Science Рейтинг: Цена: 15159.00 р. Наличие на складе: Поставка под заказ.
Описание:
Cognitive Information Systems in ManagementSciences summarizes the body of work in this area, taking an analytical approach to interpreting the data, while also providing an approach that can be used for practical implementation in the fields of computing, economics, and engineering.
Using numerous illustrative examples, and following both theoretical and practical results, Dr. Lidia Ogiela discusses the concepts and principles of cognitive information systems, the relationship between intelligent computer data analysis, and how to utilize computational intelligent approaches to enhance information retrieval.
Real world implantation use cases round out the book, with valuable scenarios covering management science, computer science, and engineering.
Indexing: The books of this series are submitted to EI-Compendex and SCOPUS
Автор: Bernadette Bouchon-Meunier; Ronald R. Yager; Lotfi Название: Information, Uncertainty and Fusion ISBN: 1461373735 ISBN-13(EAN): 9781461373735 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As we stand at the precipice of the twenty first century the ability to capture and transmit copious amounts of information is clearly a defining feature of the human race. The recent IPMU conference held at La Sorbonne in Paris brought together some of the world`s leading experts in uncertainty and information fusion.
Описание: The book offers a comprehensive and timely overview of advanced mathematical tools for both uncertainty analysis and modeling of parallel processes, with a special emphasis on intuitionistic fuzzy sets and generalized nets.
Автор: Bernadette Bouchon-Meunier; Ronald R. Yager; Lotfi Название: Information, Uncertainty and Fusion ISBN: 079238590X ISBN-13(EAN): 9780792385905 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As we stand at the precipice of the twenty first century the ability to capture and transmit copious amounts of information is clearly a defining feature of the human race. The recent IPMU conference held at La Sorbonne in Paris brought together some of the world`s leading experts in uncertainty and information fusion.
Автор: Christoph Beierle; Alex Dekhtyar Название: Scalable Uncertainty Management ISBN: 3319235397 ISBN-13(EAN): 9783319235394 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The mysterious world of normal numbers.- Bayesian Networks.- Probabilistic Query Answering in the Bayesian Description Logic BEL.- The Complexity of Plate Probabilistic Models.- DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model.- Probabilistic Models.- State Space Search with Stochastic Costs and Risk Aversion.- On the Impact of Junction-Tree Topology on Weighted Model Counting.- A System for Probabilistic Inductive Answer Set Programming.- Towards Large-Scale Probabilistic OBDA.- Reasoning over Linear Probabilistic Knowledge Bases with Priorities.- Intelligent Data Analytics.- Evenness-based reasoning with logical proportions applied to classification.- Multivariate Cluster-Based Discretization for Bayesian Network Structure Learning.- Modeling and Forecasting Time Series of Compositional Data: A Generalized Dirichlet Power Steady Model.- Linguistic and Graphical Explanation of a Cluster-based Data Structure.- Possibility Theory, Belief Functions and Transformations.- Probability-possibility transformations: Application to credal networks.- Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics.- Propagation of Belief Functions in Singly-Connected Hybrid Directed Evidential Networks.- Uncertain logical gates in possibilistic networks. An application to human geography.- Argumentation.- Undercutting in argumentation systems.- Formalizing Explanatory Dialogues.- Towards a dual process cognitive model for argument evaluation.- Change in abstract bipolar argumentation systems.- On argumentation with purely defeasible rules.- Dealing with Inconsistency.- A possibilistic analysis of inconsistency.- First-Order Under-Approximations of Consistent Query Answers.- Using Rules of Thumb for Repairing Inconsistent Answer Set Program.- Applications.- Fuzzy XPath for the Automatic Search of Fuzzy Formulae Models.- ERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution.- Matching uncertain identities against sparse knowledge.
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