Strengthening Links Between Data Analysis and Soft Computing
This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive...
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oai:scholar.dlu.edu.vn:DLU123456789-577062023-11-11T05:50:59Z Strengthening Links Between Data Analysis and Soft Computing Grzegorzewski, P Gagolewski, M Hryniewicz, O Gil, M.A. Soft computing General Computers Congresses This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics. Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems. 2015-08-21T03:26:10Z 2015-08-21T03:26:10Z 2015 Book 978-3-319-10765-3 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57706 en application/pdf Springer |
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Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
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English |
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Soft computing General Computers Congresses |
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Soft computing General Computers Congresses Grzegorzewski, P Gagolewski, M Hryniewicz, O Gil, M.A. Strengthening Links Between Data Analysis and Soft Computing |
description |
This book gathers contributions presented at the 7th International Conference on Soft Methods in Probability and Statistics SMPS 2014, held in Warsaw (Poland) on September 22-24, 2014. Its aim is to present recent results illustrating new trends in intelligent data analysis. It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics.
Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems. |
format |
Book |
author |
Grzegorzewski, P Gagolewski, M Hryniewicz, O Gil, M.A. |
author_facet |
Grzegorzewski, P Gagolewski, M Hryniewicz, O Gil, M.A. |
author_sort |
Grzegorzewski, P |
title |
Strengthening Links Between Data Analysis and Soft Computing |
title_short |
Strengthening Links Between Data Analysis and Soft Computing |
title_full |
Strengthening Links Between Data Analysis and Soft Computing |
title_fullStr |
Strengthening Links Between Data Analysis and Soft Computing |
title_full_unstemmed |
Strengthening Links Between Data Analysis and Soft Computing |
title_sort |
strengthening links between data analysis and soft computing |
publisher |
Springer |
publishDate |
2015 |
url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57706 |
_version_ |
1782546099129548800 |