Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Arkady Borisov"'
Autor:
Inese Polaka, Arkady Borisov
Publikováno v:
Technological and Economic Development of Economy, Vol 16, Iss 4 (2010)
This article studies data structure investigation possibilities using cluster analysis. Density structures within classes are explored to implement class decomposition in order to enhance performance of decision tree classifiers. Classes are decompos
Externí odkaz:
https://doaj.org/article/3fd3f2257ecd45988892bce6f2765a08
Autor:
Serge Parshutin, Arkady Borisov
Publikováno v:
Technological and Economic Development of Economy, Vol 16, Iss 3 (2010)
Production planning is the main aspect for a manufacturer affecting the income of a company. Correct production planning policy chosen for the right product at the right moment in the product life cycle (PLC) reduces production, storing and other rel
Externí odkaz:
https://doaj.org/article/52b21a6038354775a526d816ac57f5bf
Autor:
Andrey Bondarenko, Arkady Borisov
Publikováno v:
Information Technology and Management Science; Vol 16, No 1 (2013): Information Technology and Management Science; 60-65
Recent theoretical advances in the learning of deep artificial neural networks have made it possible to overcome a vanishing gradient problem. This limitation has been overcome using a pre-training step, where deep belief networks formed by the stack
Publikováno v:
Information Technology and Management Science; Vol 18, No 1 (2015): Information Technology and Management Science; 129-134
Information Technology and Management Science, Vol 18, Iss 1, Pp 129-134 (2015)
Information Technology and Management Science, Vol 18, Iss 1, Pp 129-134 (2015)
The aim of the article is to analyse and develop an ontology-based classification system methodology that uses decision tree learning with statement propositionalized attributes. Classical decision tree learning algorithms, as well as decision tree l
Autor:
Henrihs Gorskis, Arkady Borisov
Publikováno v:
Information Technology and Management Science; Vol 18, No 1 (2015): Information Technology and Management Science; 37-41
Information Technology and Management Science, Vol 18, Iss 1, Pp 37-41 (2015)
Information Technology and Management Science, Vol 18, Iss 1, Pp 37-41 (2015)
Building an ontology is a difficult and time- consuming task. In order to make this task easier and faster, some automatic methods can be employed. This paper examines the feasibility of using rules and concepts discovered during the classification t
Autor:
Inese Polaka, Arkady Borisov
Publikováno v:
Information Technology and Management Science; Vol 16, No 1 (2013): Information Technology and Management Science; 114-120
This article presents an approach in bioinformatics data analysis and exploration that improves classification accuracy by learning the inner structure of the data. The diseases studied in bioinformatics (diagnostic, prognostic etc. studies) often ha
Autor:
Pavels Osipovs, Arkady Borisov
Publikováno v:
Information Technology and Management Science; Vol 15, No 1 (2012): Information Technology and Management Science; 176-182
The paper describes the methodology of constructing models of typical user behaviour in a distributed information system, which may operate with sensitive data. The model is designed for the detection of abnormal behaviour occurring during the invasi
Autor:
V. M. Zabiniako, Yu. A. Chizhov, L. Ya. Aleksejeva, Arkady Borisov, Tatjana Zmanovska, Pavel Osipov
Publikováno v:
Automatic Control and Computer Sciences. 51:417-425
The present paper discusses various aspects of embedding the intrusion detection system based on the personal adaptive behavior profile into the existing complex information system. The paper proposes the classification of types of access to the targ
Autor:
Arkady Borisov, Andrejs Kaulins
Publikováno v:
Information Technology and Management Science, Vol 18, Iss 1, Pp 78-83 (2015)
Information Technology and Management Science; Vol 18, No 1 (2015): Information Technology and Management Science; 78-83
Information Technology and Management Science; Vol 18, No 1 (2015): Information Technology and Management Science; 78-83
This article describes a method of transformation of object-relational model into ontology. The offered method uses learning rules for such complex data types as object tables and collections – arrays of a variable size, as well as nested tables. O
Publikováno v:
Automatic Control and Computer Sciences. 49:268-276
This article considers one of supply chain problems—procurement and inventory management. As part of this task, the main problem is the coordination of an order between the supplier and customer, in particular, the timely coordination of the name a