Makrufa Hajirahimova

In the context of the recent revolutionary technological changes observed in the world economy, international competition has increased even more. To be ready for the increasing competition in the world in the coming years, the priority task of each country is to form the intellectual potential of the population, which is an integral part of its human capital. To this end, education aligned with the demands of the 21st century --the era of Information and Communication Technologies, a creative and innovative society that fosters innovations, and a healthy lifestyle of citizens are the main conditions. This article focuses on the role of intellectual potential for the sustainable development of society and the national economy and highlights the issues of its formation. Cross-country comparisons are fulfilled according to the education level index of the population, the number of students in higher education institutions per 10,000 people, the number of educational institutions and those studying in them, the weight of the older generation of the population with higher education and who are involved in continuing education. The article collects and systematizes statistical data that serve as a foundational source for analyzing the processes of formation of the country's intellectual potential and assessing it using Data Mining and artificial intelligence methods. It also examines the state of education and scientific potential characterizing the intellectual potential of society, provided important results of fundamental and applied research conducted in scientific organizations and institutions of Azerbaijan, and some indicators used in assessing the activities of scientific organizations. It mentions the necessity of improving the most important components of the intellectual potential of society, such as education and scientific potential.

This paper discusses the theoretical and methodological foundations of the study of the intellectual potential of the population. In the presented research, intellectual potential is the subject of multidisciplinary studies, particularly philosophy, sociology, economics, technology, psychology and pedagogy. To this end, this paper analyzes intellectual potential as a multidisciplinary research field, and examines the main theories, concepts and approaches in this field. Relevant scientific literature on the evaluation of intellectual potential is studied, actual research fields are determined, and their current status is analyzed. The indicators for the evaluation of research activity and efficiency of science in research institutions and organizations are determined. This work explores the international experience in evaluating the activities of scientific organizations, and analyzes the purpose, organization and results of the evaluation in some countries. In the end, it examines the state-of-the-art of scientific potential in the scientific organizations and institutions of Azerbaijan, and presents the important results of the conducted fundamental and applied research and some indicators used in the evaluation of the activity of research organizations.

Intellectual potential is the main resource for development and transformation of society. Assessment of intellectual potential is considered as an important factor in increasing the efficiency of the national economy at the modern stage development of the society of information and knowledge economy. This study is dedicated to the analysis of the existing system of indicators used for the assessment of intellectual potential. The main goal of the work is to study the international experience in the field of intellectual potential assessment and the main indicators of intellectual potential measurement. The article examines the main components of intellectual potential (scientific-technical, innovation, educational and cultural potential) and assessment levels (micro, meso and macro). It analyzes the system of indicators offered by several researchers, developed countries and international organizations for the assessment of intellectual potential. It also interprets the intellectual potential assessment indicators of the of higher educational institutions and informs about the international rating systems used for the world universities ranking. Finally, it highlights the indicators system for the assessment of intellectual potential in Azerbaijan and provides recommendations.

Recently, the widespread usage of computer networks has led to the increase of network threats and attacks. Existing security systems and devices are insufficient in the detection of intruders' attacks on network infrastructure, and they considered to be outdated for storing and analyzing large network traffic data in terms of size, speed, and diversity. Detection of anomalies in network traffic data is one of the most important issues in providing network security. In the paper, we investigate the possibility of using machine learning algorithms in the detection of anomalies – DoS attacks in computer network traffic data on the WEKA software platform. Ensemble model consisting of several unsupervised classification algorithms has been proposed to increase the efficiency of classification algorithms. The effectiveness of the proposed model was studied using the NSL-KDD database. The proposed approach showed a higher accuracy in the detection of anomalies compared to the results shown by the classification algorithms separately.