Research of unstructured data interpretation problems
The term «unstructured data» means data that is unordered and arbitrary in shape. However, this type of information has a certain structure. Today there is a wide variety of data and, as a result, it is necessary to interpret them. Interpretation tasks include forecasting, classification, clustering...
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| Format: | Article |
| Language: | Russian |
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MIREA - Russian Technological University
2021-03-01
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| Series: | Российский технологический журнал |
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| Online Access: | https://www.rtj-mirea.ru/jour/article/view/272 |
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| author | V. S. Tomashevskaya D. A. Yakovlev |
| author_facet | V. S. Tomashevskaya D. A. Yakovlev |
| author_sort | V. S. Tomashevskaya |
| collection | DOAJ |
| description | The term «unstructured data» means data that is unordered and arbitrary in shape. However, this type of information has a certain structure. Today there is a wide variety of data and, as a result, it is necessary to interpret them. Interpretation tasks include forecasting, classification, clustering, association, sequence search, data visualization, and variance analysis. The difficulty lies in the fact that the data itself can differ not only in terms of format, but also in terms of its structure. One of the key tasks when working with unstructured data is to find and identify patterns in order to understand them and develop filling patterns. The paper analyzes the rules for the design of bibliographic sources in order to identify common patterns. The concepts of structured and unstructured data are touched upon. The existing directions of work with unstructured data and methods of processing unstructured data, in particular, the rules for the design of bibliographic lists of literary sources, are considered. These rules were used to form templates consisting of semantic groups on the basis of examples of the corresponding lists of bibliographic sources. The final comparison of the obtained templates revealed both common features that unite all the considered templates and features that separate them. |
| format | Article |
| id | doaj-art-3803a3dcc9514d178d20dc2ab2b59019 |
| institution | DOAJ |
| issn | 2782-3210 2500-316X |
| language | Russian |
| publishDate | 2021-03-01 |
| publisher | MIREA - Russian Technological University |
| record_format | Article |
| series | Российский технологический журнал |
| spelling | doaj-art-3803a3dcc9514d178d20dc2ab2b590192025-08-20T02:53:50ZrusMIREA - Russian Technological UniversityРоссийский технологический журнал2782-32102500-316X2021-03-019171710.32362/2500-316X-2021-9-1-7-17238Research of unstructured data interpretation problemsV. S. Tomashevskaya0D. A. Yakovlev1MIREA – Russian Technological UniversityMIREA – Russian Technological UniversityThe term «unstructured data» means data that is unordered and arbitrary in shape. However, this type of information has a certain structure. Today there is a wide variety of data and, as a result, it is necessary to interpret them. Interpretation tasks include forecasting, classification, clustering, association, sequence search, data visualization, and variance analysis. The difficulty lies in the fact that the data itself can differ not only in terms of format, but also in terms of its structure. One of the key tasks when working with unstructured data is to find and identify patterns in order to understand them and develop filling patterns. The paper analyzes the rules for the design of bibliographic sources in order to identify common patterns. The concepts of structured and unstructured data are touched upon. The existing directions of work with unstructured data and methods of processing unstructured data, in particular, the rules for the design of bibliographic lists of literary sources, are considered. These rules were used to form templates consisting of semantic groups on the basis of examples of the corresponding lists of bibliographic sources. The final comparison of the obtained templates revealed both common features that unite all the considered templates and features that separate them.https://www.rtj-mirea.ru/jour/article/view/272unstructured datatext analyticsunstructured information |
| spellingShingle | V. S. Tomashevskaya D. A. Yakovlev Research of unstructured data interpretation problems Российский технологический журнал unstructured data text analytics unstructured information |
| title | Research of unstructured data interpretation problems |
| title_full | Research of unstructured data interpretation problems |
| title_fullStr | Research of unstructured data interpretation problems |
| title_full_unstemmed | Research of unstructured data interpretation problems |
| title_short | Research of unstructured data interpretation problems |
| title_sort | research of unstructured data interpretation problems |
| topic | unstructured data text analytics unstructured information |
| url | https://www.rtj-mirea.ru/jour/article/view/272 |
| work_keys_str_mv | AT vstomashevskaya researchofunstructureddatainterpretationproblems AT dayakovlev researchofunstructureddatainterpretationproblems |