Granular Knowledge Cube: An Expert Finder System for Knowledge Carriers, Denzler Alexander

Автор: Kacprzyk
Название: Granular, Soft and Fuzzy Approaches for Intelligent Systems
ISBN: 3319403125 ISBN-13(EAN): 9783319403120
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book offers a comprehensive report on the state-of-the art in the broadly-intended field of “intelligent systems”. After introducing key theoretical issues, it describes a number of promising models for data and system analysis, decision making, and control. It discusses important theories, including possibility theory, the Dempster-Shafer theory, the theory of approximate reasoning, as well as computing with words, together with novel applications in various areas, such as information aggregation and fusion, linguistic data summarization, participatory learning, systems modeling, and many others. By presenting the methods in their application contexts, the book shows how granular computing, soft computing and fuzzy logic techniques can provide novel, efficient solutions to real-world problems. It is dedicated to Professor Ronald R. Yager for his great scientific and scholarly achievements, and for his long-lasting service to the fuzzy logic, and the artificial and computational intelligence communities. It has been motivated by the authors’ appreciation of his original thinking and groundbreaking ideas, with a special thought to his valuable research on the computerized implementation of various aspects of human cognition for decision-making and problem-solving.

Автор: Hiroshi Sakai; Mihir Chakraborty; Aboul-Ella Hassa
Название: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
ISBN: 3642106455 ISBN-13(EAN): 9783642106453
Издательство: Springer
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Цена: 97820.00 T
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Описание: This book constitutes the refereed proceedings of the 12th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2009, held in Delhi, India in December 2009 in conjunction with the Third International Conference on Pattern Recognition and Machine Intelligence, PReMI 2009.

Автор: Alexander Denzler
Название: Granular Knowledge Cube
ISBN: 3030229777 ISBN-13(EAN): 9783030229771
Издательство: Springer
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Цена: 46570.00 T
Наличие на складе: Нет в наличии.
Описание: This book introduces a novel type of expert finder system that can determine the knowledge that specific users within a community hold, using explicit and implicit data sources to do so. Further, it details how this is accomplished by combining granular computing, natural language processing and a set of metrics that it introduces to measure and compare candidates’ suitability. The book describes profiling techniques that can be used to assess knowledge requirements on the basis of a given problem statement or question, so as to ensure that only the most suitable candidates are recommended.The book brings together findings from natural language processing, artificial intelligence and big data, which it subsequently applies to the context of expert finder systems. Accordingly, it will appeal to researchers, developers and innovators alike.

Автор: Lech Polkowski; Piotr Artiemjew
Название: Granular Computing in Decision Approximation
ISBN: 3319128795 ISBN-13(EAN): 9783319128795
Издательство: Springer
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Цена: 148020.00 T
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Описание: A striking feature of granular classifiers obtained by this approach is that preserving the accuracy of them on original data, they reduce substantially the size of the granulated data set as well as the set of granular decision rules.

Автор: Witold Pedrycz
Название: Granular Computing
ISBN: 3790824879 ISBN-13(EAN): 9783790824872
Издательство: Springer
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Цена: 153720.00 T
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Описание: The landscape of granular computing is immensely rich and involves set theory (interval mathematics), fuzzy sets, rough sets, random sets linked together in a highly synergetic environment.

Автор: Piotr Ho?ko
Название: Granular-Relational Data Mining
ISBN: 3319527509 ISBN-13(EAN): 9783319527505
Издательство: Springer
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Цена: 111790.00 T
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Описание: Preface.- Chapter 1: Introduction.- Part I: Generalized Related Set Based Approach.- Chapter 2: Information System for Relational Data.- Chapter 3: Properties of Granular-Relational Data Mining Framework.- Chapter 4: Association Discovery and Classification Rule Mining.- Chapter 5: Rough-Granular Computing.- Part II: Description Language Based Approach.- Chapter 6: Compound Information Systems.- Chapter 7: From Granular-Data Mining Framework to its Relational Version.- Chapter 8: Relation-Based Granules.- Chapter 9: Compound Approximation Spaces.- Conclusions.- References.- Index.

Автор: Tsau Young Lin; Yiyu Y. Yao; Lotfi A. Zadeh
Название: Data Mining, Rough Sets and Granular Computing
ISBN: 3790825085 ISBN-13(EAN): 9783790825084
Издательство: Springer
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Цена: 181670.00 T
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Описание: In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw- ing together points (objects) which are related through similarity, proximity or functionality.

Автор: Pedrycz Witold, Chen Shyi-Ming
Название: Interpretable Artificial Intelligence: A Perspective of Granular Computing
ISBN: 3030649512 ISBN-13(EAN): 9783030649517
Издательство: Springer
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Цена: 149060.00 T
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Описание: This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) - Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing.

Автор: Dominik Slezak; JingTao Yao; James F. Peters; Wojc
Название: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
ISBN: 3540286608 ISBN-13(EAN): 9783540286608
Издательство: Springer
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Цена: 121110.00 T
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Описание: Contains papers from the proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, held in Regina, Canada in August/September 2005 in 2 volumes.

Автор: Hońko Piotr
Название: Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing?
ISBN: 3319849778 ISBN-13(EAN): 9783319849775
Издательство: Springer
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Цена: 93160.00 T
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Описание: Preface.- Chapter 1: Introduction.- Part I: Generalized Related Set Based Approach.- Chapter 2: Information System for Relational Data.- Chapter 3: Properties of Granular-Relational Data Mining Framework.- Chapter 4: Association Discovery and Classification Rule Mining.- Chapter 5: Rough-Granular Computing.- Part II: Description Language Based Approach.- Chapter 6: Compound Information Systems.- Chapter 7: From Granular-Data Mining Framework to its Relational Version.- Chapter 8: Relation-Based Granules.- Chapter 9: Compound Approximation Spaces.- Conclusions.- References.- Index.

Автор: Yiyu Yao; Qinghua Hu; Hong Yu; Jerzy W. Grzymala-B
Название: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
ISBN: 331925782X ISBN-13(EAN): 9783319257822
Издательство: Springer
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Цена: 59630.00 T
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Описание: Cyberspace is a ubiquitous realm interconnecting every aspect of modern society, enabled by broadband networks and wireless signals around us, existing within local area networks in our schools, hospitals and businesses, and within the massive grids that power most countries. Securing cyberspace to ensure the continuation of growing economies and to protect a nations way of life is a major concern for governments around the globe.This book contains papers presented at the NATO Advanced Research Workshop ARW entitled Best Practices and Innovative Approaches to Develop Cyber Security and Resiliency Policy Framework, held in Ohrid,

Автор: Pedrycz Witold, Chen Shyi-Ming
Название: Interpretable Artificial Intelligence: A Perspective of Granular Computing
ISBN: 3030649482 ISBN-13(EAN): 9783030649487
Издательство: Springer
Цена: 149060.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers a comprehensive treatise on the recent pursuits of Artificial Intelligence (AI) - Explainable Artificial Intelligence (XAI) by casting the crucial features of interpretability and explainability in the original framework of Granular Computing.