Granular Knowledge Cube, Alexander Denzler

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: Denzler Alexander
Название: Granular Knowledge Cube: An Expert Finder System for Knowledge Carriers
ISBN: 3030229807 ISBN-13(EAN): 9783030229801
Издательство: Springer
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Цена: 46570.00 T
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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.

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: Rafael Bello; Rafael Falc?n; Witold Pedrycz
Название: Granular Computing: At the Junction of Rough Sets and Fuzzy Sets
ISBN: 3642095682 ISBN-13(EAN): 9783642095689
Издательство: Springer
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Цена: 204040.00 T
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Описание: This volume is a compilation of the best papers presented at the First International Symposium on Fuzzy and Rough Sets (ISFUROS 2006) held in Santa Clara, Cuba.

Автор: Han Liu; Mihaela Cocea
Название: Granular Computing Based Machine Learning
ISBN: 331970057X ISBN-13(EAN): 9783319700571
Издательство: Springer
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Цена: 111790.00 T
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Описание: Introduction, - Traditional Machine Learning, - Semi-supervised Learning through Machine Based Labelling, - Nature Inspired Semi-heuristic Learning, - Fuzzy Classification through Generative Multi-task Learning, - Multi-granularity Semi-random Data Partitioning, - Multi-granularity Rule Learning, - Case Studies, - Con

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: 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: Sanchez
Название: Type-2 Fuzzy Granular Models
ISBN: 3319412876 ISBN-13(EAN): 9783319412870
Издательство: Springer
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Цена: 51230.00 T
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Описание: A series of methods for the formation of higher-type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via multiple approaches, such as Coefficient of Variation, principle of justifiable granularity, uncertainty-based information concept, and numerical evidence based.

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: Daniela Sanchez; Patricia Melin
Название: Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation
ISBN: 331928861X ISBN-13(EAN): 9783319288611
Издательство: Springer
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Цена: 60940.00 T
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Описание: The techniquesused and combined in the proposed method are modular neural networks (MNNs)with a Granular Computing (GrC) approach, thus resulting in a new concept ofMNNs;

Автор: Sankar K. Pal; Shubhra S. Ray; Avatharam Ganivada
Название: Granular Neural Networks, Pattern Recognition and Bioinformatics
ISBN: 3319571133 ISBN-13(EAN): 9783319571133
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book provides a uniform framework describing how fuzzy rough granular neural network technologies can be formulated and used in building efficient pattern recognition and mining models.

Автор: Kacprzyk Janusz, Filev Dimitar, Beliakov Gleb
Название: Granular, Soft and Fuzzy Approaches for Intelligent Systems: Dedicated to Professor Ronald R. Yager
ISBN: 3319820761 ISBN-13(EAN): 9783319820767
Издательство: Springer
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Цена: 93160.00 T
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Описание: 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.