Foundations of Information and Knowledge Systems, Varzinczak
Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 1493938436 ISBN-13(EAN): 9781493938438 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Автор: Anand Sharma Название: Knowledge Engineering for Modern Information Systems ISBN: 3110713160 ISBN-13(EAN): 9783110713169 Издательство: Walter de Gruyter Рейтинг: Цена: 23049.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Knowledge Engineering (KE) is a fi eld within artifi cial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specifi c domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent fi ndings and innovative research in the information system and KE domain. Highlighting the challenges and diffi culties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will fi nd this book a valuable source of ideas and guidance.
Автор: Zhengming Ding; Handong Zhao; Yun Fu Название: Learning Representation for Multi-View Data Analysis ISBN: 3030007332 ISBN-13(EAN): 9783030007331 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal.A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.
Автор: Sanjay Madria; Takahiro Hara Название: Big Data Analytics and Knowledge Discovery ISBN: 3319227289 ISBN-13(EAN): 9783319227283 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 17th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2015, held in Valencia, Spain, September 2015. The 31 revised full papers presented were carefully reviewed and selected from 90 submissions. data warehouses; applications of big data analysis;
Описание: This three volume set (CCIS 853-855) constitutes the proceedings of the 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2017, held in Cadiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions.
Автор: Sebastian Link; Henri Prade Название: Foundations of Information and Knowledge Systems ISBN: 3642118283 ISBN-13(EAN): 9783642118289 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed post-conference proceedings of the Sixth International Symposium on Foundations of Information and Knowledge Systems (FoIKS 2010) which was held in Sofia, Bulgaria, in February 2010. This title presents the 19 revised full papers together with three invited talks that were reviewed and selected from 50 papers.
Описание: This book discusses the development of a theory of info-statics as a sub-theory of the general theory of information.
Автор: Christoph Beierle; Carlo Meghini Название: Foundations of Information and Knowledge Systems ISBN: 3319049380 ISBN-13(EAN): 9783319049380 Издательство: Springer Рейтинг: Цена: 11598.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Invited Talks.- The Equational Approach to Contrary-to-duty Obligations.- A Survey of the Data Complexity of Consistent Query Answering under Key Constraints.- Regular Articles.- Arguments Using Ontological and Causal Knowledge.- Reasoning on Secrecy Constraints under Uncertainty to Classify Possible Actions.- An AIF-Based Labeled Argumentation Framework.- On the Semantics of Partially Ordered Bases.- The Structure of Oppositions in Rough Set Theory and Formal Concept Analysis - Toward a New Bridge between the Two Settings.- Enriching Taxonomies of Place Types Using Flickr.- Hintikka-Style Semantic Games for Fuzzy Logics.- A Finite Axiomatization of Conditional Independence and Inclusion Dependencies.- Guard Independence and Constraint-Preserving Snapshot Isolation.- Implication and Axiomatization of Functional Constraints on Patterns with an Application to the RDF Data Model.- View-Based Tree-Language Rewritings for XML.- EHC: Non-parametric Editing by Finding Homogeneous Clusters.- A Logic for Specifying Stochastic Actions and Observations.- Belief Revision in Structured Probabilistic Argumentation.- A Multi-granular Database Model.- Optimizing Computation of Repairs from Active Integrity Constraints.- Belief Merging in Dynamic Logic of Propositional Assignments.- Incremental Maintenance of Aggregate Views.- Towards an Approximative Ontology-Agnostic Approach for Logic Programs.
Автор: Michel Chein; Marie-Laure Mugnier Название: Graph-based Knowledge Representation ISBN: 1849967695 ISBN-13(EAN): 9781849967693 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In addressing the question of how far it is possible to go in knowledge representation and reasoning through graphs, the authors cover basic conceptual graphs, computational aspects, and kernel extensions. The basic mathematical notions are summarized.
Описание: This book focuses on the development of a theory of info-dynamics to support the theory of info-statics in the general theory of information.
Автор: Joachim W. Schmidt; Costantino Thanos Название: Foundations of Knowledge Base Management ISBN: 3642833993 ISBN-13(EAN): 9783642833991 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Knowledge Base Management Systems (KBMSs) are being proposed that provide user-friendly environments for the construction, retrieval, and manipUlation of large shared knowledge bases.
Описание: This book constitutes the refereed proceedings of the 11th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2020, held in Dortmund, Germany, in February 2020. The 19 revised full papers presented were carefully reviewed and selected from 33 submissions.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
