There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

Data Mining - Concepts and Techniques.

In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.

Forecasting, Structural Time Series Models and the Kalman Filter

The article content lies in solving the important applied scientific problem of the informational resources processing intellectual systems (IRPISes) with textual commercial content linguistic analysis usage creation. The IRPISes functioning mathematical ensuring was developed. The IRPISes construction means and methods will be developed on the basis of created mathematical models. Such systems have the widespread usage, in particular for the forming, managing and maintenance of the expanding content volume in Internet, running e-business, during the online and offline content realization systems, cloud storage and cloud computing.

http://ieeexplore.ieee.org/iel7/7446756/7451933/07452160.pdf

Linguistic analysis of textual commercial content for information resources processing

The paper proposes a method for modeling risk management in multi-project environment. Simulation was conducted and the example was provided in the article.

The risk management modelling in multi project environment

The approach to the development of intelligent decision support systems using ontology knowledge bases consisting of such systems in the article is considered. The classification of such systems in terms of their operation based on ontologies is carried out. The mathematical functioning of intelligent decision support systems and intelligent search system based on ontology is developed. The notion of adaptive ontologies is introduced. An adaptive ontology is proposed to define as an ontology with concepts and relations weighted according to its importance for a given subject domain. This model of ontology defines not only explicit, but also implicit knowledge. The mathematical functioning of intelligent decision support systems using adaptive ontologies formalizes decision making of such a system. Semantic metric based on adaptive ontologies was built, unlike other metrics, takes into account the causal relation between the concepts, not just their taxonomy. For feature problems mathematical software based on automated determination of properties of set concepts was developed, according to the values which the process of decision support was carried out.

Methods of Building Intelligent Decision Support Systems Based on Adaptive Ontology

In the given article content is support method as the content lifecycle stage in Web systems is proposed. The model describes the processes of information resources processing in the electronic business systems and simplifies the content automation support technology. In the given paper the main problems of e-commerce and content function management services are analyzed. The proposed method gives an opportunity to create an instrument of information resources processing and to implement the module of Web content support.

/pdf/web-content-support-method-in-electronic-business-systems-3mcyk1i19s.pdf

Web Content Support Method in Electronic Business Systems.

In this research, a web content management method as a stage of the content lifecycle in e-commerce systems is investigated. The content management method describes the web resource formation processes and simplifies the web resource management technology under conditions of uncertainty. The basic e-commerce obstacles and content processing functional services are also analyzed. The suggested method gives an opportunity to develop web resource management and commercial content maintenance means.

Victoria Vysotska

Papers

Linguistic analysis of textual commercial content for information resources processing

The risk management modelling in multi project environment

Methods of Building Intelligent Decision Support Systems Based on Adaptive Ontology

Web Content Support Method in Electronic Business Systems.

The Method of Web-Resources Management Under Conditions of Uncertainty Based on Fuzzy Logic