Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Skiba Sergey Aleksandrovich

Scholastic degree

Academic rank

Honorary rank

Organization, job position

Kuban State Agrarian University
   

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Articles count: 4

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240 kb

COLLECTION SCORING

abstract 0931309089 issue 93 pp. 1290 – 1299 30.11.2013 ru 1194
One of the most popular methodologies of credit indebtedness management is used by banks, financial institutions and the collection agency has been considered in this article based on the experiment. This experiment demonstrates the methods of estimations of the client’s solvency and the way to impact to debitors. The article is accompanied with explanations and conclusion
801 kb

DATA MINING OF USERS' SOCIAL NETWORK PROFILE FOR DETERMINATION OF TYPOLOGY OF THE CONSUMER. Part I

abstract 1071503107 issue 107 pp. 1638 – 1660 31.03.2015 ru 1086
The article considers a new approach to the definition of the type and psycho type of consumer - social network user, using psychographics methods, data mining and statistical techniques and analytical tools. In the study, we executed testing of respondents in order to identify the properties of their socio-economic preferences. Experimental and research work aimed at solving the problem described in the article, was divided into several complementary to each other and interconnected parts. The article presents the first part of the work, which includes the decision of 3 objectives, namely to obtain quantitative, statistical data on the properties of consumer preferences of users of the social network "VKontakte"; identifying groups of consumers with different severity of socio-psychological properties of preferences; definition of psycho type of user with a set of inherent characteristics and behavior patterns. To achieve the objectives we developed comprehensive software, called "MindScore", with main components at this stage - 1) the module for user authorization through the app of social network "VKontakte" and for extraction data of its social profile, 2) the module for processing and analysis data. In the study we have given rise to the creation of unique algorithms for personality mining using dataset of user profile social network
401 kb

SOCIAL SCORING

abstract 0911307089 issue 91 pp. 1246 – 1263 30.09.2013 ru 1036
The new approach to the classification of the client by a method of credit scoring on the basis of the profiles of social networks is considered in the article. The approach illustrates interaction with social networks as new data source in credit process. Statistical methods of data processing and corresponding to them mathematical tools were involved in the analysis. The description of this approach is kept within the made experiment
193 kb

THE MODERN APPROACH TO THE ESTIMATION OF THE CREDITWORTHINESS OF CLIENTS FOR LENDING

abstract 0811207074 issue 81 pp. 983 – 993 30.09.2012 ru 1487
The modern approach for the assessment the client's solvency for loaning is considered in the article.This approach explains the use of scoring models to optimize the decision-making process for the loan request. The approach to systematize the credit scoring with descriptions of new methods, models and toolkits making it possible to increase opportunities of the assessment and analysis is recommended with the experiment is recommended
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