Intelligent Information Processing Ii
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Intelligent Information Processing Ii
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Author : Qing He
language : en
Publisher: Springer
Release Date : 2006-01-20
Intelligent Information Processing Ii written by Qing He and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-01-20 with Computers categories.
Data Mining is the process of posing queries and extracting useful information, patterns and trends previously unknown from large quantities of data [Thu, 00]. It is the process where intelligent tools are applied in order to extract data patterns [JM, 01]. This encompasses a number of different technical approaches, such as cluster analysis, learning classification and association rules, and finding dependencies. Agents are defined as software entities that perform some set of tasks on behalf of users with some degree of autonomy. This research work deals about developing a automated data mining system which encompasses the familiar data mining algorithms using intelligent agents in object oriented databases and proposing a framework. Because the data mining system uses the intelligent agents, a new user will be able to interact with the data mining system without much data mining technical knowledge. This system will automatically select the appropriate data mining technique and select the necessary field needed from the database at the appropriate time without expecting the users to specify the specific technique and the parameters. Also a new framework is proposed for incorporating intelligent agents with automated data mining. One of the major goals in developing this system is to give the control to the computer for learning automatically by using intelligent agents.
Internet Based Intelligent Information Processing Systems
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Author : Robert J. Howlett
language : en
Publisher: World Scientific
Release Date : 2003
Internet Based Intelligent Information Processing Systems written by Robert J. Howlett and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
The Internet/WWW has made it possible to easily access quantities of information never available before. However, both the amount of information and the variation in quality pose obstacles to the efficient use of the medium. Artificial intelligence techniques can be useful tools in this context. Intellignet systems can be applied to searching the Internet and data-mining, interpreting Internet-derived material, the human-Web interface, remote condition monitoring and many other areas. This volume presents the latest research on the interaction between intelligent systems (neural networks, adaptive and connectionist paradigms, fuzzy and rule-based systems, intelligent agents) and the Internet/WWW. It surveys both the employment of intelligent systems to facilitate and enhance the use of the Internet, and applications where the Internet is a channel through which intelligent techniques are applied. Contents: Search and Resource Discovery Techniques; Adaptive Content Mapping for Internet Navigation; Flexible Queries to XML Information; Agent-Based Hypermedia Models; Self-Organizaing Neural Networks Application for Information Organization; Emotion-Orientated Intelligent Systems; Public Opinion Channel; A New Era of Intelligent E-Commerce; Automated Internet Trading Based on Optimized Physics Models of Markets. Readership: Engineers, researchers, students and technical managers interested in Internet-based intelligent systems.
Intelligent Systems For Information Processing From Representation To Applications
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Author : B. Bouchon-Meunier
language : en
Publisher: Elsevier
Release Date : 2003-11-07
Intelligent Systems For Information Processing From Representation To Applications written by B. Bouchon-Meunier and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-11-07 with Mathematics categories.
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
Advances In Intelligent Information Processing
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Author :
language : en
Publisher:
Release Date : 2007
Advances In Intelligent Information Processing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Advances In Knowledge Based And Intelligent Information And Engineering Systems
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Author : Manuel Graña
language : en
Publisher: IOS Press
Release Date : 2012
Advances In Knowledge Based And Intelligent Information And Engineering Systems written by Manuel Graña and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
In this 2012 edition of Advances in Knowledge-Based and Intelligent Information and Engineering Systems the latest innovations and advances in Intelligent Systems and related areas are presented by leading experts from all over the world. The 228 papers that are included cover a wide range of topics. One emphasis is on Information Processing, which has become a pervasive phenomenon in our civilization. While the majority of Information Processing is becoming intelligent in a very broad sense, major research in Semantics, Artificial Intelligence and Knowledge Engineering supports the domain specific applications that are becoming more and more present in our everyday living. Ontologies play a major role in the development of Knowledge Engineering in various domains, from Semantic Web down to the design of specific Decision Support Systems. Research on Ontologies and their applications is a highly active front of current Computational Intelligence science that is addressed here. Other subjects in this volume are modern Machine Learning, Lattice Computing and Mathematical Morphology.The wide scope and high quality of these contributions clearly show that knowledge engineering is a continuous living and evolving set of technologies aimed at improving the design and understanding of systems and their relations with humans.
Knowledge Based Intelligent Information And Engineering Systems
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Author : Vasile Palade
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-08-28
Knowledge Based Intelligent Information And Engineering Systems written by Vasile Palade and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-08-28 with Computers categories.
During recent decades we have witnessed not only the introduction of automation into the work environment but we have also seen a dramatic change in how automation has influenced the conditions of work. While some 30 years ago the addition of a computer was considered only for routine and boring tasks in support of humans, the balance has dramatically shifted to the computer being able to perform almost any task the human is willing to delegate. The very fast pace of change in processor and information technology has been the main driving force behind this development. Advances in automation and especially Artificial Intelligence (AI) have enabled the formation of a rather unique team with human and electronic members. The team is still supervised by the human with the machine as a subordinate associate or assistant, sharing responsibility, authority and autonomy over many tasks. The requirement for teaming human and machine in a highly dynamic and unpredictable task environment has led to impressive achievements in many supporting technologies. These include methods for system analysis, design and engineering and in particular for information processing, for cognitive and complex knowledge [1] engineering .
Intelligent Information Processing With Matlab
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Author : Xiu Zhang
language : en
Publisher: Springer
Release Date : 2023-10-16
Intelligent Information Processing With Matlab written by Xiu Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-16 with Technology & Engineering categories.
This book is a comprehensive collection of technologies and methods on intelligent information processing, which includes artificial neural network, fuzzy logic, and evolutionary computing. It also introduces the latest research directions and progress in intelligent information processing, such as transfer learning through convolutional neural network, time series prediction, clustering based on fuzzy neural network, test and evaluation of the traveling salesman problem, test and evaluation of continuous optimization problem, and more. This book promotes the development and application of intelligent information processing technology in the field of computational intelligence, effectively improving the intersection and integration of intelligent information processing methods. Researchers in computational intelligence and artificial intelligence technology, as well as teachers, students, and others interested in the subject, will benefit from this book.
Intelligent Information Processing Xii
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Author : Zhongzhi Shi
language : en
Publisher: Springer Nature
Release Date :
Intelligent Information Processing Xii written by Zhongzhi Shi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Intelligent Information Processing X
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Author : Zhongzhi Shi
language : en
Publisher: Springer Nature
Release Date : 2020-06-26
Intelligent Information Processing X written by Zhongzhi Shi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-26 with Computers categories.
This book constitutes the refereed proceedings of the 11th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2020, held in Hangzhou, China, in July 2020. The 24 full papers and 5 short papers presented were carefully reviewed and selected from 36 submissions. They are organized in topical sections on machine learning; multi-agent system; recommendation system; social computing; brain computer integration; pattern recognition; and computer vision and image understanding.
Linguistic Values Based Intelligent Information Processing
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Author : Pei Zheng
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-01-01
Linguistic Values Based Intelligent Information Processing written by Pei Zheng and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-01 with Computers categories.
Humans employ mostly natural languages in describing and representing problems, c- puting and reasoning, arriving at ?nal conclusions described similarly as words in a natural language or as the form of mental perceptions. To make machines imitate humans’ mental activities, the key point in terms of machine intelligence is to process uncertain information by means of natural languages with vague and imprecise concepts. Zadeh (1996a) proposed a concept of Computing with Words (CWW) to model and c- pute with linguistic descriptions that are propositions drawn from a natural language. CWW, followed the concept of linguistic variables (Zadeh, 1975a,b) and fuzzy sets (Zadeh, 1965), has been developed intensively and opened several new vast research ?elds as well as applied in various areas, particularly in the area of arti?cial intelligence. Zadeh (1997, 2005) emphasized that the core conceptions in CWW are linguistic variables and fuzzy logic (or approximate reasoning). In a linguistic variable, each linguistic value is explained by a fuzzy set (also called semantics of the linguistic value), its membership function is de?ned on the universe of discourse of the linguistic variable. By fuzzy sets, linguistic information or statements are quanti?ed by membership functions, and infor- tion propagation is performed by approximate reasoning. The use of linguistic variables implies processes of CWW such as their fusion, aggregation, and comparison. Different computational approaches in the literature addressed those processes (Wang, 2001; Zadeh and Kacprzyk, 1999a, b). Membership functions are generally at the core of many fuzzy-set theories based CWW.