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“Applied informatics” is a peer-reviewed science journal with international representation of editorial board and authors, covering a significant part of Russian IT-area. The topics of the publications are connected to the aspects of theory and application of computer modeling and information technologies in various professional areas. The journal is indexed by Russian Science Citation Index on Web of Science platform.

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The Journal is indexed by Russian 
Science Citation Index on Web 
of Science platform


In accordance with the decision of the Higher Attestation Commission of the Ministry of Education and Science of Russian Federation, journal is included in the «List of Leading Peer-Reviewed Scientific Journals and Publications authorized to publish main dissertation results»

A practical approach for requirements systematization

The author: Simkin A. V.
This article describes an approach to requirements for integrated information system systematization. The approach proposed is the framework that can be used for the technical requirements formalization aiming to classification and definition of the relationship between the different types of requirements.

A system for automatic customers’ opinion mining

The author: Yatsko V.
which was created on a request from an overseas firm, processes chats, blogs, and forums to provide as output generalized negative and positive scores as well as specific subjectivity terms associated with the product’s name given in user’s query. The system is based on the highly structured ontology and linear grammar. The ontology consists of syntactic and semantic terms ad their subcategories, groups and classes. Semantic terms are those ones expressing subjectivity and having either positive or negative semantic orientation. Syntactic terms do not express subjectivity but can modify the intensity of polarity of semantic terms. The relation between semantic and syntactic terms is defined as a binary relation and groups with symmetric, asymmetric, and inverse relations between syntactic and semantic terms are distinguished. Semantic terms are assigned scores from 1 (–1) to 9 (–9). The paper suggests differentiating between formal and linguistic ontologies. Linear grammar comprises rules that allow mapping ontology terms onto the names of products and generate phrases with semantic and syntactic terms. The overall system’s efficiency measured in terms of recall and precision of information retrieval achieves 86%.

Accounting non-stationary in the temporal-logical model of the project

The article analyzes non-stationary arising in the process of project management at the industrial enterprises and their effect on the project structure. The method which provides accounting of non-stationary in the project temporal-logical model structure is presented. An example of the practical use of this method is given.

Algorithmic and information support of innovative project management in conditions of uncertainty

The article presents the features of innovative projects of industrial enterprises that complicate the process of their management. The main groups of mathematical methods used to manage innovative projects are identified. The possible directions of further developing mathematical methods in the field of managing the complex innovative projects at industrial enterprises are determined. Algorithms of accounting the influence of uncertainty factors on the duration and costs that associate with implementing the innovation project works are presented. A distinctive feature of these algorithms is the usage of fuzzy production rules. These rules formulate recommendations for managing these projects based on the distribution of resources available in the organization depending on the results of each stage. It allows minimizing the execution time, both individual stages, and the entire innovation project as a whole. The variant of information support formation is offered that is presented in the form of a physical model of the database. This model allows storing all the information available in the industrial organization that necessary to manage these projects. A distinctive feature of this database is the ability to store information on the impact of uncertainties on the implementation effectiveness in a formalized form. This information is necessary for the implementing the developed algorithms.

Analysis of IT effect model based on a structural approach

The article analyzes the structure of the effect of using automated management systems. The analysis is performed on a structural approach. This article contains two parts. In the first one lists a number of problems that are universal character and faced researchers in the performance evaluation of the effectiveness. For each problem there is a brief description. The following is a brief overview of the most common approaches and methods by which the estimate of effectiveness. Their number and methodological breadth requires additional approaches to select the right tools to measure performance. In the second part of this article provides examples of the structure of the IT effect that can be detected in the works of different researchers. For notes, other researchers of this domain does not accentuate focus the structure of the IT effect. Then describes the author’s vision structure of the IT effect and briefly describes possible approaches to evaluating the effectiveness of the implementation of MIS in accordance with the proposed structure. In conclusion, the authors again emphasize the special role of the structure IT effects, it plays in the effectiveness evaluation.

Application of analysis of hierarchies in the choice of a method of automation of a company

Automating a company’s business processes is an important part of optimizing its operations. The automation process is a project activity based on the principles of achieving the goal, spending resources and meeting deadlines. The choice of automation method depends on many criteria (preferences, desires, technical and cost components) that must be considered in the planning of the project. The method of analyzing hierarchies will make it possible to organize in the best way the decisionmaking process regarding the choice of an automation method. The hierarchy analysis method, developed by the American mathematician Thomas Saaty about 30 years ago, is still widely used in practice for making decisions in all subject areas. In matters of choosing how to automate business processes of a company, this method is the best fit, because It makes it possible in the best way to take into account in the project all the requirements for the future system, to ensure the most acceptable functionality, to organize the most effective implementation and further support. The effectiveness of its use in the selection of automation systems is demonstrated by the example of the construction company PSK «Dom-skazka» engaged in automatization of business processes. To solve our problem, six criteria were chosen. As a result of the analysis, a response was received, allowing to decide on the choice of how to automate the production process. In the article, the authors consider an example of applying the hierarchy analysis method in solving the problem of choosing an automation method. The task has been set, alternatives have been chosen, selection criteria have been described, mathematical calculations have been carried out and the results have been obtained, on the basis of which a reasonable choice of the best alternative (automation method) has been made for the company in question.

Applications of the sentiment polarity dictionaries for the textual analysis

We employ a contemporary set of sentiment analytics methods for the dataset of Russia-related news texts and compare a variety of sentiment dictionaries as applied to the news texts. In this paper we evaluate the applicability of the AFINN, NRC, Loughran and McDonald dictionaries to determine the impact of the sentiment polarity on the stock and foreign exchange markets. The dictionaries are selected due to their applications in the area of textual analysis and the number of sentiments polarities classes they cover. The empirical basis of the research is the 2,5 million Russia-related news texts, acquired via the Thomson Reuters authorized sources for the period from January 2012 to June 2018. Based on the textual analysis method known as the «bag-of-words» we evaluate the polarity of each of the news texts with the use of all selected dictionaries. The correlation of oscillating polarities and the major stock market indicators is determined. We show that the Russia-related news sentiments demonstrate substantial impact on the stock markets. In addition, the negative news polarities predominantly affect the markets being a major media factor for the market players. The NRC Emotion Lexicon dictionary fits best the sentiment analysis of the Russia-related news.

Architecture of adaptive Web-based system of Customer Relationship Management based on Web Mining technology

The author: Shpolyanskaya I.
The purpose of this paper is to present the architecture of the CRM system that uses Web Mining techniques and the principles of adaptive management. Adaptive model of customer relationship management in the Web CRM system based on Web Mining technologies is represented in the following form. The core of the CRM system is an adaptive website, based on dynamic analysis of the web resources information usage in order to modify the web site ontology and its personalization to improve user interaction. The system uses online methods to capture useful information from user log file data and browsing pages to analyze customers’ behavior, their preferences regarding different groups of goods and services of the company. The obtained data are structured using the cluster analysis, classification, and association rule mining in order to determine groups of customers and prospects with similar characteristics and behavior. Based on this analysis valuable consumer segments are determined according to the current customer value. For each group of customers system forms the most effective strategy for interaction. To develop adaptive strategies for interacting with customers the proposed model uses the self-organizing learning algorithms. As a result, when using an adaptive approach in Web CRM system forms a closed loop feedback, which allows in real time to adjust the strategy of interaction with customer according to his current preferences and constraints.