The Information Estimation System for Data Processing Results
Information measures can be used to evaluate data processing results. At the moment there are many different unrelated information concepts. The purpose of this paper is to propose a theoretical classification for these concepts. Existing information concepts are overviewed and analysed. As a result...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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FRUCT
2019-04-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/abstract24/files/Zhu2.pdf
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| _version_ | 1819204173062733824 |
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| author | Natalya Zhukova Ildar Baimuratov Nguyen Than Nikolay Mustafin |
| author_facet | Natalya Zhukova Ildar Baimuratov Nguyen Than Nikolay Mustafin |
| author_sort | Natalya Zhukova |
| collection | DOAJ |
| description | Information measures can be used to evaluate data processing results. At the moment there are many different unrelated information concepts. The purpose of this paper is to propose a theoretical classification for these concepts. Existing information concepts are overviewed and analysed. As a result, three basic information definitions are identified. Next, these basic definitions are derived from a common basis - the function concept. The resulting classification can be used for a comprehensive evaluation of data processing results, as demonstrated by the example of logical formulas. |
| first_indexed | 2024-12-23T04:31:36Z |
| format | Article |
| id | doaj.art-8d39842c723343f6aa6e0e05a5628917 |
| institution | Directory Open Access Journal |
| issn | 2305-7254 2343-0737 |
| language | English |
| last_indexed | 2024-12-23T04:31:36Z |
| publishDate | 2019-04-01 |
| publisher | FRUCT |
| record_format | Article |
| series | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| spelling | doaj.art-8d39842c723343f6aa6e0e05a56289172022-12-21T18:00:00ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372019-04-0185424810814The Information Estimation System for Data Processing ResultsNatalya Zhukova0Ildar Baimuratov1Nguyen Than2Nikolay Mustafin3ITMO University, St. Peterburg, RussiaITMO University, St. Peterburg, RussiaITMO University, St. Peterburg, RussiaSaint-Peterburg Electrotechnical University "LETI", St. Peterburg, RussiaInformation measures can be used to evaluate data processing results. At the moment there are many different unrelated information concepts. The purpose of this paper is to propose a theoretical classification for these concepts. Existing information concepts are overviewed and analysed. As a result, three basic information definitions are identified. Next, these basic definitions are derived from a common basis - the function concept. The resulting classification can be used for a comprehensive evaluation of data processing results, as demonstrated by the example of logical formulas.https://fruct.org/publications/abstract24/files/Zhu2.pdf information estimationShannon informationKolmogorov complexityHartley informationdata processing |
| spellingShingle | Natalya Zhukova Ildar Baimuratov Nguyen Than Nikolay Mustafin The Information Estimation System for Data Processing Results Proceedings of the XXth Conference of Open Innovations Association FRUCT information estimation Shannon information Kolmogorov complexity Hartley information data processing |
| title | The Information Estimation System for Data Processing Results |
| title_full | The Information Estimation System for Data Processing Results |
| title_fullStr | The Information Estimation System for Data Processing Results |
| title_full_unstemmed | The Information Estimation System for Data Processing Results |
| title_short | The Information Estimation System for Data Processing Results |
| title_sort | information estimation system for data processing results |
| topic | information estimation Shannon information Kolmogorov complexity Hartley information data processing |
| url | https://fruct.org/publications/abstract24/files/Zhu2.pdf
|
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