Uncertainty and Intelligent Information Systems
Title | Uncertainty and Intelligent Information Systems PDF eBook |
Author | Bernadette Bouchon |
Publisher | World Scientific |
Pages | 537 |
Release | 2008 |
Genre | Computers |
ISBN | 9812792341 |
Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge. This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. The main aspects of clustering, classification, summarization, decision making and systems modeling are also addressed. Topics covered in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, Bayesian networks and other network methods, as well as logic-based systems.
Uncertainty And Intelligent Information Systems
Title | Uncertainty And Intelligent Information Systems PDF eBook |
Author | Ronlad R Yager |
Publisher | World Scientific |
Pages | 537 |
Release | 2008-07-14 |
Genre | Computers |
ISBN | 9814471798 |
Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge. This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. The main aspects of clustering, classification, summarization, decision making and systems modeling are also addressed. Topics covered in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, Bayesian networks and other network methods, as well as logic-based systems.
Uncertainty and Intelligent Systems
Title | Uncertainty and Intelligent Systems PDF eBook |
Author | Bernadette Bouchon |
Publisher | Springer Science & Business Media |
Pages | 420 |
Release | 1988-06-08 |
Genre | Computers |
ISBN | 9783540194026 |
This book contains the papers presented at the 2nd IPMU Conference, held in Urbino (Italy), on July 4-7, 1988. The theme of the conference, Management of Uncertainty and Approximate Reasoning, is at the heart of many knowledge-based systems and a number of approaches have been developed for representing these types of information. The proceedings of the conference provide, on one hand, the opportunity for researchers to have a comprehensive view of recent results and, on the other, bring to the attention of a broader community the potential impact of developments in this area for future generation knowledge-based systems. The main topics are the following: frameworks for knowledge-based systems: representation scheme, neural networks, parallel reasoning schemes; reasoning techniques under uncertainty: non-monotonic and default reasoning, evidence theory, fuzzy sets, possibility theory, Bayesian inference, approximate reasoning; information theoretical approaches; knowledge acquisition and automated learning.
Uncertainty Management in Information Systems
Title | Uncertainty Management in Information Systems PDF eBook |
Author | Amihai Motro |
Publisher | Springer Science & Business Media |
Pages | 473 |
Release | 2012-12-06 |
Genre | Computers |
ISBN | 1461562457 |
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. This subject is at the intersection of two areas of knowledge: information systems is an area that concentrates on the design of practical systems that can store and retrieve information; uncertainty modeling is an area in artificial intelligence concerned with accurate representation of uncertain information and with inference and decision-making under conditions infused with uncertainty. New applications of information systems require stronger capabilities in the area of uncertainty management. Our hope is that lasting interaction between these two areas would facilitate a new generation of information systems that will be capable of servicing these applications. Although there are researchers in information systems who have addressed themselves to issues of uncertainty, as well as researchers in uncertainty modeling who have considered the pragmatic demands and constraints of information systems, to a large extent there has been only limited interaction between these two areas. As the subtitle, "From Needs to Solutions," indicates, this book presents view points of information systems experts on the needs that challenge the uncer tainty capabilities of present information systems, and it provides a forum to researchers in uncertainty modeling to describe models and systems that can address these needs.
An Open Intelligent Information Systems Architecture
Title | An Open Intelligent Information Systems Architecture PDF eBook |
Author | Rajeev Kaula |
Publisher | Concept Publishing Company |
Pages | 162 |
Release | 1999 |
Genre | Computers |
ISBN | 9788170227229 |
Recommender Systems: Advanced Developments
Title | Recommender Systems: Advanced Developments PDF eBook |
Author | Jie Lu |
Publisher | World Scientific |
Pages | 362 |
Release | 2020-08-04 |
Genre | Computers |
ISBN | 9811224641 |
Recommender systems provide users (businesses or individuals) with personalized online recommendations of products or information, to address the problem of information overload and improve personalized services. Recent successful applications of recommender systems are providing solutions to transform online services for e-government, e-business, e-commerce, e-shopping, e-library, e-learning, e-tourism, and more.This unique compendium not only describes theoretical research but also reports on new application developments, prototypes, and real-world case studies of recommender systems. The comprehensive volume provides readers with a timely snapshot of how new recommendation methods and algorithms can overcome challenging issues. Furthermore, the monograph systematically presents three dimensions of recommender systems — basic recommender system concepts, advanced recommender system methods, and real-world recommender system applications.By providing state-of-the-art knowledge, this excellent reference text will immensely benefit researchers, managers, and professionals in business, government, and education to understand the concepts, methods, algorithms and application developments in recommender systems.
Intelligent Systems for Information Processing: From Representation to Applications
Title | Intelligent Systems for Information Processing: From Representation to Applications PDF eBook |
Author | B. Bouchon-Meunier |
Publisher | Elsevier |
Pages | 489 |
Release | 2003-11-07 |
Genre | Mathematics |
ISBN | 0080525652 |
Intelligent systems are required to enhance the capacities being made available to us by the internet and other computer based technologies. The theory necessary to help providing solutions to difficult problems in the construction of intelligent systems are discussed. In particular, attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. Various methodologies to manage such information are discussed. Among these are the probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks.One purpose of the book is not to consider these methodologies separately, but rather to consider how they can be used cooperatively to better represent the multiplicity of modes of information. Topics in the book include representation of imperfect knowledge, fundamental issues in uncertainty, reasoning, information retrieval, learning and mining, as well as various applications.Key Features:• Tools for construction of intelligent systems • Contributions by world leading experts • Fundamental issues and applications • New technologies for web searching • Methods for modeling uncertain information • Future directions in web technologies • Transversal to methods and domains