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

Posted By: AvaxGenius
Date: 8 Dec 2023 06:51:42
Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing?

Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? by Piotr Hońko
English | EPUB (True) | 2017 | 130 Pages | ISBN : 3319527509 | 3 MB

This book provides two general granular computing approaches to mining relational data, the first of which uses abstract descriptions of relational objects to build their granular representation, while the second extends existing granular data mining solutions to a relational case.
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18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023)

Posted By: AvaxGenius
Date: 10 Sep 2023 16:32:59
18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023)

18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023): Salamanca, Spain, September 5–7, 2023, Proceedings, Volume 2 by Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado
English | PDF (True) | 2023 | 376 Pages | ISBN : 3031425359 | 38.5 MB

This book of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2023 conference held in the beautiful and historic city of Salamanca (Spain) in September 2023. Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena.
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Data Mining, Rough Sets and Granular Computing

Posted By: AvaxGenius
Date: 12 May 2023 16:33:19
Data Mining, Rough Sets and Granular Computing

Data Mining, Rough Sets and Granular Computing by Tsau Young Lin, Yiyu Y. Yao, Lotfi A. Zadeh
English | PDF | 2002 | 538 Pages | ISBN : 379081461X | 51.1 MB

During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par­ ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. 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. In this perspective, granular computing has a position of centrality in data mining. Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a branch of granular computing. However, its applications to data mining have predated that of granular computing.
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Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? (Repost)

Posted By: AvaxGenius
Date: 21 Aug 2021 18:47:50
Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? (Repost)

Granular-Relational Data Mining: How to Mine Relational Data in the Paradigm of Granular Computing? by Piotr Hońko
English | PDF | 2017 | 130 Pages | ISBN : 3319527509 | 1.5 MB

This book provides two general granular computing approaches to mining relational data, the first of which uses abstract descriptions of relational objects to build their granular representation, while the second extends existing granular data mining solutions to a relational case.
Details

Fuzzy Information and Engineering-2019

Posted By: AvaxGenius
Date: 17 May 2020 03:56:15
Fuzzy Information and Engineering-2019

Fuzzy Information and Engineering-2019 by Bing-yuan Cao
English | PDF,EPUB | 2020 | 294 Pages | ISBN : 9811524580 | 35.6 MB

This book includes 70 selected papers from the Ninth International Conference on Fuzzy Information and Engineering (ICFIE) Satellite, which was held on December 26–30, 2018; and from the 9th International Conference on Fuzzy Information and Engineering (ICFIAE), which was held on February 13–15, 2019. The two conferences presented the latest research in the areas of fuzzy information and engineering, operational research and management, and their applications.
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Fuzzy Hypergraphs and Related Extensions

Posted By: AvaxGenius
Date: 9 May 2020 05:38:53
Fuzzy Hypergraphs and Related Extensions

Fuzzy Hypergraphs and Related Extensions by Muhammad Akram
English | EPUB | 2020 | 522 Pages | ISBN : 9811524025 | 55.24 MB

This book presents the fundamental and technical concepts of fuzzy hypergraphs and explains their extensions and applications. It discusses applied generalized mathematical models of hypergraphs, including complex, intuitionistic, bipolar, m-polar fuzzy, Pythagorean, complex Pythagorean, and q-rung orthopair hypergraphs, as well as single-valued neutrosophic, complex neutrosophic and bipolar neutrosophic hypergraphs. In addition, the book also sheds light on real-world applications of these hypergraphs, making it a valuable resource for students and researchers in the field of mathematics, as well as computer and social scientists.
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Topics in Rough Set Theory: Current Applications to Granular Computing

Posted By: AvaxGenius
Date: 26 Apr 2020 16:21:46
Topics in Rough Set Theory: Current Applications to Granular Computing

Topics in Rough Set Theory: Current Applications to Granular Computing by Seiki Akama
English | EPUB | 2020 | 208 Pages | ISBN : 3030295656 | 14 MB

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. Examining various topical issues, including object-oriented rough set models, recommendation systems, decision tables, and granular computing, the book is a valuable resource for students and researchers in the field.
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Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type (Repost)

Posted By: AvaxGenius
Date: 21 Feb 2020 17:10:16
Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type (Repost)

Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type by Witold Pedrycz
English | PDF | 2011 | 306 Pages | ISBN : 3642198198 | 4.02 MB

Information granules are fundamental conceptual entities facilitating perception of complex phenomena and contributing to the enhancement of human centricity in intelligent systems. The formal frameworks of information granules and information granulation comprise fuzzy sets, interval analysis, probability, rough sets, and shadowed sets, to name only a few representatives. Among current developments of Granular Computing, interesting options concern information granules of higher order and of higher type.
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