Handbook of Research on Fuzzy Information Processing in Databases - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Fuzzy Information Processing in Databases write by Galindo, Jos. This book was released on 2008-05-31. Handbook of Research on Fuzzy Information Processing in Databases available in PDF, EPUB and Kindle. "This book provides comprehensive coverage and definitions of the most important issues, concepts, trends, and technologies in fuzzy topics applied to databases, discussing current investigation into uncertainty and imprecision management by means of fuzzy sets and fuzzy logic in the field of databases and data mining. It offers a guide to fuzzy information processing in databases"--Provided by publisher.
Handbook of Research on Fuzzy Information Processing in Databases
Handbook of Research on Fuzzy Information Processing in Databases - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook of Research on Fuzzy Information Processing in Databases write by José Galindo. This book was released on 2008. Handbook of Research on Fuzzy Information Processing in Databases available in PDF, EPUB and Kindle.
Information Processing and Management of Uncertainty in Knowledge-Based Systems
Information Processing and Management of Uncertainty in Knowledge-Based Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Information Processing and Management of Uncertainty in Knowledge-Based Systems write by Eyke Hüllermeier. This book was released on 2010-06-17. Information Processing and Management of Uncertainty in Knowledge-Based Systems available in PDF, EPUB and Kindle. This book 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.
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations write by Jesús Medina. This book was released on 2018-05-30. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations available in PDF, EPUB and Kindle. 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 Cádiz, Spain, in June 2018. The 193 revised full papers were carefully reviewed and selected from 383 submissions. The papers are organized in topical sections on advances on explainable artificial intelligence; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe time series; discrete models and computational intelligence; formal concept analysis and uncertainty; fuzzy implication functions; fuzzy logic and artificial intelligence problems; fuzzy mathematical analysis and applications; fuzzy methods in data mining and knowledge discovery; fuzzy transforms: theory and applications to data analysis and image processing; imprecise probabilities: foundations and applications; mathematical fuzzy logic, mathematical morphology; measures of comparison and entropies for fuzzy sets and their extensions; new trends in data aggregation; pre-aggregation functions and generalized forms of monotonicity; rough and fuzzy similarity modelling tools; soft computing for decision making in uncertainty; soft computing in information retrieval and sentiment analysis; tri-partitions and uncertainty; decision making modeling and applications; logical methods in mining knowledge from big data; metaheuristics and machine learning; optimization models for modern analytics; uncertainty in medicine; uncertainty in Video/Image Processing (UVIP).
Fuzzy Preference Queries To Relational Databases
Fuzzy Preference Queries To Relational Databases - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Preference Queries To Relational Databases write by Olivier Pivert. This book was released on 2012-02-23. Fuzzy Preference Queries To Relational Databases available in PDF, EPUB and Kindle. The manipulation of databases is an integral part of a world which is becoming increasingly and pervasively information-focused. This book puts forward a suggestion to advocate preference queries and fuzzy sets as a central concern in database queries and offers an important contribution to the design of intelligent information systems. It provides a comprehensive study on fuzzy preference queries in the context of relational databases. Preference queries, a recent hot topic in database research, provide a basis for rank-ordering the items retrieved, which is especially valuable for large sets of answers.This book aims to show that fuzzy set theory constitutes a highly expressive framework for modeling preference queries. It presents a study of the algorithmic aspects related to the evaluation of such queries in order to demonstrate that this framework offers a good trade-off between expressivity and efficiency. Numerous examples and proofs are liberally and lucidly demonstrated throughout, and greatly enhance the detailed theoretical aspects explored in the book.Researchers working in databases will greatly benefit from this comprehensive and up-to-date study of fuzzy preference queries, and it will also become an invaluable reference point for postgraduate students interested in advanced database techniques.The only other books which deal with this topic are edited books or conference proceedings which include a few contributions about some specific aspects of the question. This book provides a comprehensive view of the issue, starting with basic notions related to relational databases and fuzzy set theory, up to the detailed study of complex fuzzy queries and the way they can be efficiently processed. It is the compendium of more than 20 years of research by the authors who benefit from a great international recognition in the domain of intelligent information systems, on the subject.
