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Year: 2018Subject: clusteringAccess: metadata onlyclear all
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5th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2018
Publication

CLUSTERING METHOD BASED ON ITERATIVE NODES PAIRING IN A DELAUNAY TRIANGULATION NET AND ITS APPLICATION FOR BUSINESS DATA ANALYSIS

(STEF92 Technology, 2018, Janusz Morajda, P. Woloszyn)

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Clustering techniques are frequently applied in business and economy, for example in customer classification, enterprise grouping and in other economic data analysis. This paper presents a new clustering method, based on Delaunay triangulation and iterative aggregation of points distributed in the feature space. In the first part of the article we propose a clustering algorithm that utilises this concept. The algorithm iteratively connects specially selected pairs of nodes in the triangulation mesh and leads to sy...

SOCIAL SCIENCES: Section Business and Management2018
5th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2018
Publication

CLASS OF THE COUNTERPARTY RELIABILITY RECOGNITION SYSTEM

(STEF92 Technology, 2018, Tatyana Suetina, D. Safina)

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This article focuses on development and design of class of the counterparty reliability recognition system which constitutes verification process of potential or currently existing counterparty of any scale and form of ownership. The Relevance of the development depends on organizationsÂ’ necessity for understanding of due diligence indicators in contract award. The target audience of the program is small and medium enterprises of Russian Federation and individual entrepreneurs who can gain additional competitive a...

SOCIAL SCIENCES: Section Economics and Finance2018
5th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2018
Publication

CUSTOMER SATISFACTION MODELLING IN DIGITAL MARKETING ERA

(STEF92 Technology, 2018, David Schueller, J. Pekarek)

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This paper deals with the use of data-driven marketing as the important part of digital marketing. Data are valuable and necessary input for sellers as they are able to make decisions in many fields of digital marketing. This study is focused on the customer satisfaction modelling whereas the main aim is to find out models that optimally describe total customer satisfaction and to determine the importance of individual factors and discover their impact on the total satisfaction. The process of modelling is demonst...

SOCIAL SCIENCES: Section Business and Management2018
5th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2018
Publication

COMSOM NEURAL MAPS AS A NEW MACHINE LEARNING TOOL FOR CLUSTERING, FORECASTING AND DATA EVALUATION PROBLEMS

(STEF92 Technology, 2018, Janusz Morajda)

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The paper presents a new, developed by the author, concept of an artificial neural map, named COMSOM and inspired by classic SOM neural networks. The initial part of the article shows a general idea of COMSOM model and its structure, which includes two layers of artificial neurons: input layer (with typical task of distributing input values to data processing neurons) and basic layer containing usually a great number of processing elements, located inside a rectangular part of an XY plane, and able to move freely ...

SOCIAL SCIENCES: Section Business and Management2018
Showing 1-4 of 4 records
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