III Всероссийская научно-практическая конференция "Информационные технологии в образовании XXI века". Сборник научных трудов
The statement that demand creates its own supply rings true for the smartphone market as well as for any other sector of the market economy. With computerization level of society growing, Internet-based technology advancing, with the increase in Internet penetration of households, growing population mobility and the development of small and medium-sized enterprises, it has become important for an individual to have operative engagement into daily interactions and activities. On the other hand, the development of technologies also requires new advanced features of technical devices.
Preference evaluation of goods or services can be done using one of market research techniques - conjoined analysis. This article continues the series on applying the conjoined analysis technique. To demonstrate the algorithm, features of conducting and interpreting results obtained, the authors use the study results of the smartphone market. The published results of the previous studies provided a detailed description of their preparation stages, described the sample size, statistics of response for a questionnaire, and algorithms from conjoint analysis technique. In particular, it outlines writing source code for the conjoint analysis algorithm using IBM SPSS Statistics command syntax language.
The purpose of this article is to demonstrate a step-by-step algorithm for conjoint analysis as one of the methods for statistical data pro- cessing, based on smartphone consumers survey, conducted by the authors. The article briefly presents the essence of the conjoint analysis, its advantages and disadvantages as a statistical method, the algorithm for preliminary processing of initial data. The authors developed a conjoined analysis and given detailed interpretation of its results. Special attention deserves the analysis and reasoning behind the choice of private utility model, as well as the evaluation of its parameters.
The findings, presented in this article, can be used by experts in statistical data processing and IT market experts. In the future, the authors plan to publish a theoretical article focusing on outlining the essence of the conjoint analysis, its application and operationalization approaches.
The International Conference on Information Technology and Quantitative Management is a global forum for exchanging research results and case studies that bridge the latest information technology and quantitative management techniques. It explores how the use of information technology to improve quantitative management techniques and how the development of management tools can reshape the development of information technology.
Legal basis for expert activities is developing in Russia. Concepts of the development of the civil law legislation and information society, regulations for strategic management have given a new impulse to it. Expert procedures are shifting to network space. Their quality and efficiency are increasing due to the usage of Intelligent Information Technology and situation centers.
The book presents the developments directions and researches within the framework of scientific schools of the Institute of Computer Technologies of MESI. It provides the concept of modern information systems architecture and the structure of information space; done the classification of information technologies. Considered the features of constructions of Business Process Management (BPM), Information Management Systems (ERP), Decision Support Systems (DSS). The book defines the theoretical foundations of algorithmization and programming with help of algorithmic languages, the theory of graphs and program synthesis. It presents safety factors and economic aspects of software development. It provides the methods and environments of information infrastructure management based on COBIT, ITIL, clouding computing. The methodology of economic efficiency of information systems and nets and information securities requirements are described. The book formulates conceptual foundations of information systems and data bases design, it presents the analysis of methodologies of information systems modeling.
This book contains papers presented in the main track of IITI 2018, the Third International Scientific Conference on Intelligent Information Technologies for Industry held in Sochi, Russia on September 17–21. The conference was jointly co-organized by Rostov State Transport University (Russia) and VŠB – Technical University of Ostrava (Czech Republic) with the participation of Russian Association for Artificial Intelligence (RAAI).
IITI 2018 was devoted to practical models and industrial applications related to intelligent information systems. It was considered as a meeting point for researchers and practitioners to enable the implementation of advanced information technologies into various industries. Nevertheless, some theoretical talks concerning the state-of-the-art in intelligent systems and soft computing were also included into proceedings.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability