Значение информационно-коммуникационных технологий в реализации инновационной стратегии ВУЗа
At the present level of development the information and knowledge become important engines of global economic growth and key elements of national strate-gy for increasing country’s competitiveness in the international market. The article is aimed to analyze two monitoring systems of innovation capacity (ICT Development Index and Networked Readiness Index) as the indicators of development of knowledge economy and information society.
The authors of the papers from Croatia, Italy, Mexico, Poland, Romania, and Russia look for constructive ways of contributing to harmonic development of the personality in modern information society. The common feature of the papers is that they either relate to the new scientific discipline called Cognitonics or correspond to its goals. Cognitonics emerged in the first half of the 2000s. It aims (a) at explicating the distortions in the perception of the world caused by the information and communication technologies and globalization and (b) at coping with these distortions in different fields by means of elaborating systemic solutions for compensating the negative implications of the kind for the personality and society, in particular, for creating cognitive-cultural preconditions of the harmonic development of the personality in the information society and for ensuring the successful development of national cultures and national languages.
The collection of articles III International scientific-practical conference "Innovative technologies, science and technology policy and business cooperation" are the results of scientific, theoretical and prakticheskihh research, management decisions, as well as marked PGL information and communication technologies in the development of innovation in education.
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
I give the explicit formula for the (set-theoretical) system of Resultants of m+1 homogeneous polynomials in n+1 variables