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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011. Proceedings

Vol. 6743. Berlin , Heidelberg : Springer, 2011.
Academic editor: Kuznetsov S., Slezak D., Hepting D. H., Mirkin B.

This volume contains papers presented at the 13th International Conference on Rough Sets, Fuzzy Sets and Granular Computing (RSFDGrC) held during June 25–27, 2011, at the National Research University Higher School of Economics (NRU HSE) in Moscow, Russia. RSFDGrC is a series of scientific events spanning the last 15 years. It investigates the meeting points among the four major disciplines outlined in its title, with respect to both foundations and applications. In 2011, RSFDGrC was co-organized with the 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI), providing a great opportunity for multi-faceted interaction between scientists and practitioners. There were 83 paper submissions from over 20 countries. Each submission was reviewed by at least three Chairs or PC members.We accepted 34 regular papers (41%). In order to stimulate the exchange of research ideas, we also accepted 15 short papers. All 49 papers are distributed among 10 thematic sections of this volume. The conference program featured five invited talks given by Jiawei Han, Vladik Kreinovich, Guoyin Wang, Radim Belohlavek, and C.A. Murthy, as well as two tutorials given by Marcin Szczuka and Richard Jensen. Their corresponding papers and abstracts are gathered in the first two sections of this volume.

Chapters
Image Recognition with a Large Database Using Method of Directed Enumeration Alternatives Modification
Savchenko A., , in: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011. ProceedingsVol. 6743.: Berlin, Heidelberg: Springer, 2011. P. 338–341.
A new modification of the method of directed alternatives' enumeration using the Kullback-Leibler discrimination information is proposed for half-tone image recognition.Results of an experimental studyin the problem of face images recognition with a large database are pre-sented. It is shown that the proposed modification is characterized by increased speed of image recognition (5-10 times vs ...
Added: August 31, 2012
From Triconcepts to Triclusters
Ignatov D. I., Kuznetsov S., Zhukov L. E., , in: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011. ProceedingsVol. 6743.: Berlin, Heidelberg: Springer, 2011. P. 257–264.
A novel approach to triclustering of a three-way binary data is proposed. Tricluster is defined in terms of Triadic Formal Concept Analysis as a dense triset of a binary relation Y , describing relationship between objects, attributes and conditions. This definition is a relaxation of a triconcept notion and makes it possible to find all ...
Added: December 3, 2012
Automatic image annotation based on low-level features and classification of the statistical classes
Bronevich A., Melnichenko A. S., , in: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011. ProceedingsVol. 6743.: Berlin, Heidelberg: Springer, 2011. P. 314–321.
In this paper we consider the problem of automatic image annotation by the set of keywords that allows us to search images in great data bases by a textual inquiry. We consider also the general scheme of classification based on low-level features and global features presented as statistical classes. With the help of the statistical ...
Added: March 2, 2013
Research target: Mathematics Philosophy, Ethics, and Religious Studies Computer Science
Priority areas: mathematics engineering science
Language: English
Text on another site
Keywords: математикаразработка данных (Data Mining)data miningнечеткие множествапредставление знанийfuzzy setsrough setsgranular computingгранулярные вычислениянеточные множестваинженерия знанийкибернетикаматематические проблемы искусственного интеллектаматематическая кибернетика
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011. Proceedings
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