Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing?, Hońko Piotr

Автор: Lech Polkowski; Piotr Artiemjew
Название: Granular Computing in Decision Approximation
ISBN: 3319128795 ISBN-13(EAN): 9783319128795
Издательство: Springer
Рейтинг:
Цена: 148020.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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
Рейтинг:
Цена: 204040.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: Piotr Ho?ko
Название: Granular-Relational Data Mining
ISBN: 3319527509 ISBN-13(EAN): 9783319527505
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: Dominik Slezak; Marcin Szczuka; Ivo Duentsch; Yiyu
Название: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
ISBN: 3540286535 ISBN-13(EAN): 9783540286530
Издательство: Springer
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Part of a two volume set, this title includes information related to rough set approximations, rough-algebraic foundations, feature selection and reduction, rough-probabilistic approaches, rough-fuzzy hybridization, fuzzy methods in data analysis, evolutionary computing, machine learning, probabilistic network models, granular computing, and more.

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
Рейтинг:
Цена: 121110.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: 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
Рейтинг:
Цена: 59630.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: 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
Рейтинг:
Цена: 181670.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: 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
Рейтинг:
Цена: 97820.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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: Lech Polkowski; Piotr Artiemjew
Название: Granular Computing in Decision Approximation
ISBN: 3319366211 ISBN-13(EAN): 9783319366210
Издательство: Springer
Рейтинг:
Цена: 121890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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; Shyi-Ming Chen
Название: Granular Computing and Decision-Making
ISBN: 3319364901 ISBN-13(EAN): 9783319364902
Издательство: Springer
Рейтинг:
Цена: 121890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Granularity Helps Explain Seemingly Irrational Features of Human Decision Making.- A Comprehensive Granular Model for Decision Making with Complex Data.-Granularity in Economic Decision Making: An Interdisciplinary Review.- Decision Makers' Opinions Changing Attitude-Driven Consensus Model under Linguistic Environment and Its Application in Dynamic MAGDM.- Using Computing with Words for Managing Non-Cooperative Behaviors in Large Scale Group Decision Making.- A Type-2 Fuzzy Logic Approach for Multi-Criteria Group Decision Making.- Multi-Criteria Influence Diagrams - A Tool for the Sequential Group Risk Assessment.-Consensus Modeling under Fuzziness - A Dynamic Approach with Random Iterative Steps.- Decision Making - Interactive and Interactive Approaches.- Collaborative Decision Making by Ensemble Rule Based Classification Systems.- A GDM Method Based on Granular Computing for Academic Library Management.- Spatial-taxon Information Granules as Used in Iterative Fuzzy-Decision-Making for Image Segmentation.- Group Decision Making in Fuzzy Environment - An Iterative Procedure Based on Group Dynamics.- Fuzzy Optimization in Decision Making of Air Quality Management.- Group Decision Making in Fuzzy Environment - An Iterative Procedure Based on Group Dynamics.- Fuzzy Optimization in Decision Making of Air Quality Management.

Автор: Akama Seiki, Kudo Yasuo, Murai Tetsuya
Название: Topics in Rough Set Theory: Current Applications to Granular Computing
ISBN: 3030295680 ISBN-13(EAN): 9783030295684
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses current topics in rough set theory. Since Pawlak`s rough set theory was first proposed to offer a basis for imprecise and uncertain data and reasoning from data, many workers have investigated its foundations and applications.

Автор: Han Liu; Mihaela Cocea
Название: Granular Computing Based Machine Learning
ISBN: 331970057X ISBN-13(EAN): 9783319700571
Издательство: Springer
Рейтинг:
Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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