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Home > Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings, Part II > Rough Set Approach to Sunspot Classification Problem
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings, Part II |
Dominik Slezak; JingTao Yao; James F. Peters; Wojciech Ziarko; Xiaohua Hu
Springer Berlin Heidelberg
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 - September 2, 2005, Proceedings, Part II
Rough Set Approach to Sunspot Classification Problem
Authors

Sinh Hoa Nguyen; Trung Thanh Nguyen; Hung Son Nguyen

ARI Id

1665020105189_4493169

Access

Not Available Free

Pages

263-272

DOI

10.1007/11548706_28

Chapter URL

https://rd.springer.com/chapter/10.1007/11548706_28

Table of Contents of Book
Showing 1 to 20 of 79 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Generalizing Rough Set Theory Through Dominance-Based Rough Set Approach
Salvatore Greco; Benedetto Matarazzo; Roman Słowiński
1-11
Approximate Boolean Reasoning Approach to Rough Sets and Data Mining
Hung Son Nguyen
12-22
Towards Human-Level Web Intelligence
Ning Zhong
23-28
Credibility Coefficients in ARES Rough Set Exploration System
Roman Podraza; Mariusz Walkiewicz; Andrzej Dominik
29-38
DIXER – Distributed Executor for Rough Set Exploration System
Jan G. Bazan; Rafał Latkowski; Marcin Szczuka
39-47
${\mathcal R}o{\mathcal S}y$: A Rough Knowledge Base System
Robin Andersson; Aida Vitória; Jan Małuszyński; Jan Komorowski
48-58
A Classification Model: Syntax and Semantics for Classification
Anita Wasilewska; Ernestina Menasalvas
59-68
“Rule + Exception” Strategies for Knowledge Management and Discovery
Yiyu Yao; Fei-Yue Wang; Jue Wang
69-78
Outlier Detection Using Rough Set Theory
Feng Jiang; Yuefei Sui; Cungen Cao
79-87
Reverse Prediction
Julia Johnson; Patrick Campeau
88-97
Prediction Mining – An Approach to Mining Association Rules for Prediction
Jitender Deogun; Liying Jiang
98-108
A Rough Set Based Model to Rank the Importance of Association Rules
Jiye Li; Nick Cercone
109-118
A Hierarchical Approach to Multimodal Classification
Andrzej Skowron; Hui Wang; Arkadiusz Wojna; Jan Bazan
119-127
Rough Learning Vector Quantization Case Generation for CBR Classifiers
Yan Li; Simon Chi-Keung Shiu; Sankar Kumar Pal; James Nga-Kwok Liu
128-137
ML-CIDIM: Multiple Layers of Multiple Classifier Systems Based on CIDIM
Gonzalo Ramos-Jiménez; José del Campo-Ávila; Rafael Morales-Bueno
138-146
Constructing Rough Decision Forests
Qing-Hua Hu; Da-Ren Yu; Ming-Yang Wang
147-156
Attribute Reduction in Concept Lattice Based on Discernibility Matrix
Wen-Xiu Zhang; Ling Wei; Jian-Jun Qi
157-165
Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers
Pawan Lingras; Cory J. Butz
166-173
A Possibilistic Approach to RBFN Centers Initialization
A. Guillén; I. Rojas; J. González; H. Pomares; L. J. Herrera; O. Valenzuela et al.
174-183
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 79 entries
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