Search Results - "big data"

Introduction. Traditional sources of information that are commonly used for spatial analysis of geodemographic processes are not always able to provide an extensive understanding of the effects associated with the growth or decline in the population of cities and agglomerations. In this regard, data...

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The purpose of  the article is   to theoretically comprehend the essence of   big data, identify the advantages and risks of   its use by   financial organisations. The article presents the results of   systematisation of   knowledge about the nature and features of  the big data. It  has been revea...

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Recently, e-learning around the world is rapidly developing, and the main problem is to provide the students with quality educational information on time. This task cannot be solved without analyzing the large flow of information, entering the information environment of e-learning from participants...

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This study’s relevance comes from adapting accounting for digital transformation and big data (BD). BD and big data analytics (BDA) are now widely accepted terms for large datasets. Analyzing and managing these datasets requires innovative methods. Accountants meet many obstacles when using analytic...

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In the realm of recommender systems, the prediction of diverse customer preferences has emerged as a compelling research challenge, particularly for multi-state business organizations operating across various geographical regions. Collaborative filtering, a widely utilized recommendation technique,...

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The results of the study of the application of the Big Data technologies in calculating the consumer price index (CPI) has been presented. The object of the study is the state institution «Federal State Statistics Service» (ROSSTAT), the subject of the study - the process of calculating the CPI base...

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The explosion of data from various sources such as smartphone applications, sensors, social media, and High-Performance Computing (HPC) simulations, has driven demand for high-performance data analytics. Traditional analytics tools lag HPC in computational efficiency, whereas machine learning worklo...

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Since the first artificial hybrid was created in 1719, significant developments such as transgenic approach have been seen in the methods for crop breeding in recent hundreds of years. A lot of breeding-related data have been collected up to now. The big data technology was developed recently and ha...

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The article explains the necessity to use cross-methodological approach to realization of marketing analytical function that combines methodology of classical marketing research and DataScience methodology. The explanation is based on results of literature analysis, which studies trends of DataDrive...

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The article analyzes the term ‘digitalization’, identifies its specific features implying that this term, in spite of transformations due to complexity of tasks being resolved, does not lose its initial meaning. On the contrary, it was supplemented by new features that do not contradict to the prima...

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In the context of digitalization of all aspects of the surrounding world, data is becoming particularly relevant as one of the most valuable resources. The concept of "big data" means a huge amount of information, the size of which is too large, or it is created too quickly or has a struct...

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La investigación sobre el consumidor ha sido el eje central del trabajo del planificador estratégico desde el nacimiento de la profesión en 1968. En concreto, en el origen de la disciplina de la Planificación Estratégica está la relevancia de la investigación cualitativa como fuente fiable para con...

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Effective application of artificial intelligence (AI) models in various fields in the field of financial risks can increase the speed of data processing, deepen the degree of their analysis and reduce labor costs, thereby effectively improving the efficiency of financial risk control. The applicatio...

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In recent years, dealing with a lot of data originating from social media sites and mobile communications among data from business environments and institutions, lead to the definition of a new concept, known as Big Data. The economic impact of the sheer amount of data produced in a last two years h...

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This article showcases a detailed description of the first stage of research on the discourse of Ukrainian opinion leaders on Facebook conducted by a team of researchers representing MGIMO University, Lomonosov Moscow State University, and Institute of Economy at the Russian Academy of Sciences. Con...

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La integración de enfoques de IA en la tecnología Big Data ha facilitado la toma de decisiones, gracias a la creciente disponibilidad de datos, es por ello que en el presente estudio se planteó examinar la interrelación entre los modelos predictivos y la tecnología Big Data. Para tal efecto, se rea...

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Today we are having a huge information explosion across the world. Earlier the amount of information was increasing arithmetically, but today, information has expanded in geometric series. The concept of big data has been around for years; most organizations now understand that if they capture all t...

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This paper uses principles of knowledge organization to explore the application of big data algorithms to the task of predicting dementia diagnoses. Using the principles of domain analysis, the paper argues that domains, as distinct from academic disciplines, provide a more flexible, and therefore m...

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Purpose: the main purpose of this article is to explore the possibility of applying the "large data" management technology for organizations of various activities with the goal of improving management accounting. To achieve this goal, the following tasks must be solved in the article:  sys...

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The main scientific trend in the development of science in the 21st century has become its interdisciplinary aspect, which leads to an ever greater interpenetration of technical sciences and humanitarian disciplines. Narrow profile specialization becomes more and more uncompetitive, as modern compet...

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