Visual Detection of Internal Patterns in the Empirical Data

Zakharova, Alena; Vekhter, Evgeniya; Shklyar, Aleksey; Zavyalov, Dmitry

doi:10.1007/978-3-319-65551-2_16

Cited by 11 publications

(7 citation statements)

References 10 publications

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“…Finally, visualization pragmatics corresponds to the study of peculiarities of understanding by an observer of a visual image or their sequence, including such complex situations as visualization of abstract data or ideas that do not have perceptually-based representations known to the user. Figure 2), ambiguity of data visual interpretation arises which predetermines several approaches to the use of visualization tools that differ in tasks solved, visualization requirements and end user characteristics [10]. It is understood that the achievement of the goal of visual communication can occur in different ways, but in each case it is necessary to agree on all the above aspects.…”

Section: Semiotic Approachmentioning

confidence: 99%

Semiotic Approach in the Development of Interactive Visual Analytics Systems

Zakharova

Vekhter

2020

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2

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Increasing information saturation in all spheres of life entails accumulation of large amounts of data that must be perceived, processed and decisions must be made on their basis. Therefore, the issues of interaction with data and of visual analytics require solutions at a new level. The authors investigate communication between the user and the data, highlight a number of negative trends that prevent effective use of visualization in solving practical problems, formulate aspects of subjective influence on the decision-making procedure, namely those leading to significant decrease in the efficiency of visual analytics systems. The paper proposes an approach to the problem of reasonable use of existing and potential visualization capabilities for solving data analysis problems and making control decisions. A significant factor hindering the development of visual analytics is a lack of a model for coordinated use of computational and subjective resources corresponding to the technical level of computer visualization capable of ensuring close communication between the researcher and the available data. The paper describes an approach based on the concept of visual communication, the properties of which are determined on the basis of a number of key concepts of semiotics and linguistics.

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Section: Semiotic Approachmentioning

confidence: 99%

Semiotic Approach in the Development of Interactive Visual Analytics Systems

Zakharova

Vekhter

2020

Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2

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“…A large amount of input data and a limitation of available resources (computational, time, human) often become problems of practical analysis of heterogeneous data during designing and controlling results of various processes. The search for new analysis tools is conditioned by the need to analyze a large number of relationships among elements of the general process [2]. Traditional means have several disadvantages, which include high qualification requirements to experts involved in the analysis and the need for interdisciplinary interaction among them.…”

Section: Fig 1 Standard Representation Of Educational Process Paramementioning

confidence: 99%

Using Visualization Tools to Search for Contradictions in Planning Results

Zakharova¹,

Vekhter²,

Shklyar³

2019

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When designing most types of activities, as well as when needed to audit the results achieved, a problem arises to analyze simultaneously data included in the descriptions of individual elements of this activity. The purpose of such analysis may be to identify contradictions among disparate information descriptions of processes included in the general activity, as well as to search for possible ways of improving the results achieved. The paper presents the results of a study of visualization potential in the analysis of large volumes of heterogeneous data. The results obtained have been used in the development of visual research tools which help to improve the design of complex processes and to solve the applied problem of planning the educational process.

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“…Redundancy can also include data that are linearly dependent on each other and do not affect further estimates and calculations, the so-called deadlock data branches. The selection of suitable data and redundancy elimination within the framework of the proposed algorithm are provided with the method of search of analogies [28]. 4.…”

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confidence: 99%

“…The method of search of analogies, which was presented earlier in the work [28], basically contains the idea of finding similar HC reservoirs that are selected in accordance with the following formula:…”

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confidence: 99%

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Validation and Completion of Initial Data of Hydrocarbon Reservoirs Development Based on 3D Models

et al. 2020

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The validation of initial data is an important process to reduce the risk of errors in calculations. The large amount of heterogeneous data in the area of hydrocarbon reservoirs development leads to a significant increasing in complexity and calculation time of data validation. Here, we consider the problem of validation and completion of the initial data for the task of hydrocarbon reservoirs development. A validation and completion method, based on the use of 3D visual models and searching of analogies, is proposed. The results of testing the proposed method on the data of reservoirs of the Tomsk region of the Russian Federation are shown. The results showed that the time of the procedure of validation and completion of the initial data was reduced by 22.2% for projects of reserve calculation and by 32.2% for projects of development forecast in comparison with standard manual validation procedure. During the validation, experts identified 18% and 13.5% more errors with the proposed method for projects of reserve calculation and development forecast, respectively, showing that the proposed method could be an effective tool for data validation and completion.

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Visual Detection of Internal Patterns in the Empirical Data

Cited by 11 publications

References 10 publications

Semiotic Approach in the Development of Interactive Visual Analytics Systems

Semiotic Approach in the Development of Interactive Visual Analytics Systems

Using Visualization Tools to Search for Contradictions in Planning Results

Validation and Completion of Initial Data of Hydrocarbon Reservoirs Development Based on 3D Models

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