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Social-media debates on longitudinal political topics often take the form of adversarial discussions: highly polarized user posts, favoring one of two opposing parties, over an extended time period. Recent prominent cases are the US Presidential campaign and the UK Brexit referendum. This paper approaches such discussions as a multi-faceted data space, and applies data mining to identify interesting...
In this modern era of communication, people are always connected to the internet. Hence, everyone tends to express their opinions on social media or e-commerce websites about commercial products, movies, sports, social and geopolitical matters and even on government policies. These opinions reflect the corresponding person's view or sentiment about that particular matter, which ultimately leads to...
Deep Learning is appealing for learning from large amounts of unlabeled/unsupervised data, making it attractive for extracting meaningful representations and patterns from big data. Deep learning, by its simplest definition, is expressed as the application of machine learning methods to the big data. In this study, it was investigated how to apply hierarchical deep learning models for the problems...
The paper proposes company's investment activity simulation model; on its basis we investigate the behavior of company's fundamental value under different control parameters. The interaction of bank and corporate borrower's value growth is analyzed. On the basis of regularities obtained a set of decision principles has been formulated determining bank's decision on appropriateness of financial resources...
Economy of knowledge is built on the ground of intellectual production. The efficiency of knowledge economy relies on the intellectual assets' market and regulation that requires smart solutions providing information security of the data processing. The blockchain' technology as a secure tool is already wide-spread within the individual contracting in the finance, management and governance. The Russian...
With the gradual advance of transmission and distribution price reform, the operating mode and profit model of power grid enterprises will be completely changed. By strengthening the supervision of transmission and distribution costs of power grid enterprises, the government has mobilized the power grid to reduce operating costs and improve the quality of customer service. At the same time, it also...
In this paper, we present a novel method to classify directions of capital flows in Internet finance. Our method is different from previous text classification methods in that extracts key sentences which may directly reflect the semantics of input text before classification. We use the Bi-LSTM model as a classifier to process input sentences. In this paper, we represent the matrix of key sentences...
The aim of this article is to analyze the use of basic e-government elements by individual users in Poland in 2017. Article presents the results of research highlighting popularity, use and influence of e-government functions that support such application in reality. Seventeen core e-government functions, most popular among respondents, were selected based on prior consultation, being the baseline...
Experiences on developing E-government solutions have given a set of evidences that policy makers can profit in order to avoid poor results or to adopt best practices. Complexities on such solutions involve several considerations that should be managed using multiple variables related to different dimensions including political, economic, social, administrative and technological ones. Integrating...
This paper presents how highest and best use (HBU) concept can be applied for value-based decision making. HBU is a technique to analyze and select the best use of land to get maximum productivity. Analytical Hierarchy Process (AHP) is applied to develop process of decision making by determine the preferences and best fit option. The criteria are based on the concept of HBU which are legal, physical,...
The order book update (OBU) algorithm is widely used in financial exchanges for rebuilding order books. The number of messages produced has drastically increased over time. The software solutions become more and more difficult to scale with the growing message rate and meet the requirement of low latency. This paper explores the potential of reconfigurable platforms in revolutionizing the order book...
In this paper, we present an Algebraic Programming System in which the algebraic approach is used to formally prove the correctness or irregularity of tax actions for tax payers corresponding to tax laws. The given taxation example illustrates the application of this system to detect the tax code inconsistencies in the decisions made by the Ukrainian Taxation Office. The Algebraic Programming System...
Improving innovative-investment activity and attractiveness of the agricultural sector in the region should be based on the evidence-based results, analysis, evaluation and forecast of its competitive profile. Taking into account the existing significant differences of the economic development level between Russian regions, especially in the innovative-investment processes that lead to the breakup...
General expressions for the distribution functions of the absolute maximum of differentiable and nondifferentiable non-stationary Gaussian process are presented. It is then established that in particular cases the suggested asymptotic approximations are able to describe the true distributions under a wide range of the random processes parameters values.
The level of readiness to use information and communication technologies is referred to as a measure of “e-Readiness”. South African universities may be well-placed to use some applications of information and communication technologies, but unable to use others. From review of existing literature, it is unclear as to which factors are regarded as important to be “e-Ready” in the South African Higher...
Highly sophisticated artificial neural networks have achieved unprecedented performance across a variety of complex real-world problems over the past years, driven by the ability to detect significant patterns autonomously. Modern electronic stock markets produce large volumes of data, which are very suitable for use with these algorithms. This research explores new scientific ground by designing...
In Africa, wide diffusion of Information and Communication Technology (ICT), particularly mobile phones and Internet technology, has opened new opportunities for informal workers. New opportunities include better access to information, improved welfare, reduction of search and transaction costs, and improved competitiveness. Despite these opportunities, there is limited scientific knowledge about...
This study aims to predict the demand for local public goods by local residents and to consider ways to promote diversification of the cost burden on supply. We employ a questionnaire survey on issues of current interest from the viewpoint of the cost burden associated with the operation of a community bus service. The survey's results showed that non-contact IC cards for mobile phones were almost...
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