Intelligent Information Processing Vi
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Intelligent Information Processing Vi
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Author : Zhongzhi Shi
language : en
Publisher: Springer
Release Date : 2012-10-06
Intelligent Information Processing Vi written by Zhongzhi Shi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-06 with Computers categories.
This book constitutes the refereed proceedings of the 7th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2012, held in Guilin, China, in October 2012. The 39 revised papers presented together with 5 short papers were carefully reviewed and selected from more than 70 submissions. They are organized in topical sections on machine learning, data mining, automatic reasoning, semantic web, information retrieval, knowledge representation, social networks, trust software, internet of things, image processing, and pattern recognition.
Intelligent Information Processing Vii
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Author : Zhongzhi Shi
language : en
Publisher: Springer
Release Date : 2014-10-13
Intelligent Information Processing Vii written by Zhongzhi Shi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-13 with Computers categories.
This book constitutes the refereed proceedings of the 8th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2014, held in Hangzhou, China, in October 2014. The 32 revised papers presented were carefully reviewed and selected from more than 70 submissions. They are organized in topical sections on machine learning, data mining, web mining, multi-agent systems, automatic reasoning, decision algorithms, multimedia, pattern recognition, and information security.
Intelligent Information Processing V
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Author : Zhongzhi Shi
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-21
Intelligent Information Processing V written by Zhongzhi Shi 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 2010-09-21 with Computers categories.
This volume comprises the 6th IFIP International Conference on Intelligent Infor- tion Processing. As the world proceeds quickly into the Information Age, it encounters both successes and challenges, and it is well recognized nowadays that intelligent information processing provides the key to the Information Age and to mastering many of these challenges. Intelligent information processing supports the most - vanced productive tools that are said to be able to change human life and the world itself. However, the path is never a straight one and every new technology brings with it a spate of new research problems to be tackled by researchers; as a result we are not running out of topics; rather the demand is ever increasing. This conference provides a forum for engineers and scientists in academia and industry to present their latest research findings in all aspects of intelligent information processing. This is the 6th IFIP International Conference on Intelligent Information Processing. We received more than 50 papers, of which 35 papers are included in this program as regular papers and 4 as short papers. We are grateful for the dedicated work of both the authors and the referees, and we hope these proceedings will continue to bear fruit over the years to come. All papers submitted were reviewed by two referees. A conference such as this cannot succeed without help from many individuals who contributed their valuable time and expertise.
Intelligent Information Processing With Matlab
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Author : Xiu Zhang
language : en
Publisher: Springer Nature
Release Date : 2023-10-15
Intelligent Information Processing With Matlab written by Xiu Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-15 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 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.
Advances In Intelligent Information Processing
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Author : Bhabatosh Chanda
language : en
Publisher: World Scientific
Release Date : 2008
Advances In Intelligent Information Processing written by Bhabatosh Chanda and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
The book deals with several key aspects of developing technologies in information processing systems. It explains various problems related to advanced image processing systems and describes some of the latest state-of-the-art techniques in solving them. Particularly, the recent advances in image and video processing are covered thoroughly with real-life applications. Some of the latest topics like rough fuzzy hybridization and knowledge reuse in computational intelligence are included adequately.
Intelligent Information Processing Iii
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Author : K. Shimohara
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-11-14
Intelligent Information Processing Iii written by K. Shimohara 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 2007-11-14 with Computers categories.
Intelligent Information Processing supports the most advanced productive tools that are said to be able to change human life and the world itself. This book presents the proceedings of the 4th IFIP International Conference on Intelligent Information Processing. This conference provides a forum for engineers and scientists in academia, university and industry to present their latest research findings in all aspects of Intelligent Information Processing.
Intelligent Information Processing
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Author : Mark Musen
language : en
Publisher: Springer
Release Date : 2012-12-06
Intelligent Information Processing written by Mark Musen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Intelligent Information Processing presents new research with special emphasis on knowledge-based system architecture and intelligent information management. The following topics are addressed: -Agent-based Computing; -Semantic Web and Learning; -Ontology Management; -Semantic Web Architecture; -Knowledge-engineering Frameworks; -Knowledge-system Structure; -Data Mining; -Methods and Tools for Identifying Communities of Practice; and -Implementing Problem Solvers.
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.
Intelligent Information Processing Iv
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Author : Eunikka Mercier-Laurent
language : en
Publisher: Springer
Release Date : 2008-09-18
Intelligent Information Processing Iv written by Eunikka Mercier-Laurent and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-18 with Computers categories.
Knowledge existing in modern information systems usually comes from many sources and is mapped in many ways. There is a real need for representing “knowledge pieces” as rather universal objects that should fit to multi-purpose a- ing systems. According to great number of information system’s tasks, knowledge representation is more or less detailed (e.g. some level of its granularity is - sumed). The main goal of this paper is to present chosen aspects of expressing granularity of knowledge implemented in intelligent systems. One of the main r- sons of granularity phenomena is diversification of knowledge sources, therefore the next section is devoted to this issue. 2. Heterogeneous Knowledge as a Source for Intelligent Systems Knowledge, the main element of so-called intelligent applications and systems, is very often heterogeneous. This heterogeneity concerns the origin of knowledge, its sources as well as its final forms of presentation. In this section the selected c- teria of knowledge differentiation will be presented, in the context of potential sources of knowledge acquisition. In Fig. 1 an environment of intelligent systems is shown, divided into different knowledge sources for the system. Fig. 1. Potential knowledge sources for intelligent information/reasoning system. Source: own elaboration based on (Mach, 2007) p. 24.