Visual Detection of Internal Patterns in the Empirical Data

التفاصيل البيبلوغرافية
Parent link:Communications in Computer and Information Science
Vol. 754 : Creativity in Intelligent Technologies and Data Science.— 2017.— [P. 215-230]
مؤلف مشترك: Национальный исследовательский Томский политехнический университет (ТПУ) Инженерная школа информационных технологий и робототехники (ИШИТР) Отделение автоматизации и робототехники (ОАР)
مؤلفون آخرون: Zakharova A. A. Alena Alexandrovna, Vehter E. V. Eugeniya Viktorovna, Shklyar A. V. Aleksey Viktorovich, Zavyalov D. A. Dmitrii Alekseevich
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
منشور في: 2017
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

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200 1 |a Visual Detection of Internal Patterns in the Empirical Data  |f A. A. Zakharova, E. V. Vehter, A. V.Shklyar, D. A. Zavyalov 
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330 |a 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. 
333 |a Режим доступа: по договору с организацией-держателем ресурса 
461 |t Communications in Computer and Information Science 
463 |t Vol. 754 : Creativity in Intelligent Technologies and Data Science  |o proceedings  |o Conference, CIT&DS 2017, Volgograd, Russia, 12-14 September, 2017  |f eds. A. Kravets [et al.]  |v [P. 215-230]  |d 2017 
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701 1 |a Vehter  |b E. V.  |c specialist in the field of engineering graphics and descriptive geometry  |c Associate Professor of Tomsk Polytechnic University, Candidate of historical sciences  |f 1972-  |g Eugeniya Viktorovna  |3 (RuTPU)RU\TPU\pers\33630  |9 17286 
701 1 |a Shklyar  |b A. V.  |c specialist in the field of informatics and computer technology  |c senior lecturer of Tomsk Polytechnic University  |f 1970-  |g Aleksey Viktorovich  |3 (RuTPU)RU\TPU\pers\29787  |9 21233 
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