Visual Detection of Internal Patterns in the Empirical Data; Communications in Computer and Information Science; Vol. 754 : Creativity in Intelligent Technologies and Data Science
| Parent link: | Communications in Computer and Information Science Vol. 754 : Creativity in Intelligent Technologies and Data Science.— 2017.— [P. 215-230] |
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| مؤلف مشترك: | |
| مؤلفون آخرون: | , , , |
| الملخص: | Title screen The article proposes the solution of the problem of the multidimensional data research. The purpose of such research is detection of internal regularities in initial data, what increases the level of knowledge and understanding the essence by the researcher. The possibilities of using visual data models to achieve this goals are shown. Results of practical use of visual analysis of multidimensional data for justification of the choice of not determined parameters for modeling and designing oil and gas fields using given analogies. High productivity of the developed approach for solving problems of the multidimensional data analysis was confirmed. Режим доступа: по договору с организацией-держателем ресурса |
| اللغة: | الإنجليزية |
| منشور في: |
2017
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1007/978-3-319-65551-2_16 |
| التنسيق: | الكتروني فصل الكتاب |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657487 |