Name

      Department № 13

Phone

      (+ 994 12) 510 43 99

Fax

      (+ 994 12) 539 61 21

E-mail

      depart13@iit.ab.az, depart13@iit.science.az 

Chief 

      Doctor of technical sciences R.M. Aliguliyev

Total number of employees

      9

Basic activity directions  

• Acquisition of the knowledge from Big Data sets;
• Formation and development of Scientometrics;
• Social network detection, analysis and management;
• Multi-aspect problems of supercomputer technologies;
• Artificial intelligence and socioinformation technologies.

Main scientific achievements

• Automated text summarization problem was reduced to linear and non-linear mathematical programming issues with absolute value; and neural algorithm, as well as the algorithms based on adaptive and self-adaptive differential evolution and particle swarm optimization (PSO) algorithms were proposed for their solution;
• Modified p-median method and self-adaptive differential evolution algorithm for automated text summarization was proposed;
• A method for automated summary measuring was proposed;
• Multiple clustering methods and algorithms were proposed for grouping the sets of text documents by their content;
• A new measure was proposed to determine the semantic proximity of the texts;
• A formula was proposed to find an optimal number of clusters of texts clustering;
• Modified weight k-means method was proposed;
• A new clustering method was proposed for spam filtering;
• A limit control clustering method and an adaptive PSO algorithm was proposed for optimal upload of media files on wiki pages to increase the impact of multimedia resources on public opinion in wiki space;
• New hm and weight consensus indices were proposed to measure scientific activity of researchers;
• The models and algorithms were proposed for detection and analysis of social networks of research organizations and researchers on the web;
• The models and algorithms were proposed for (social) detection of the groups in social networks;
• Modified evolution and particle swarm optimization algorithms were proposed for solving discrete optimization problems;
• Generalized PageRank algorithm was proposed for improving quality indicators of Internet-information retrieval systems;
• The optimization model and ant colony algorithm was proposed for web-site ranking;
• A mathematical model was proposed for optimal allocation of heterogeneous tasks in heterogeneous computer network, and its solution algorithm in neural network was developed;
• A genetic algorithm was developed for optimal allocation of heterogeneous tasks in heterogeneous computer network;
• An algorithm was proposed for solution of mixed task of Korteweg–de Vries - Burgers equation in neural network;
• A new algorithm was proposed for solving model linear programming tasks in neural network;
• A mathematical model was proposed for optimal allocation of web servers and contents in CDN networks, and neural network synthesis algorithm was proposed for its solution;
• A mathematical model was proposed for optimal allocation of CDN networks in the global network nodes, and the genetic algorithm was proposed for its solution;
• A mathematical model was proposed for optimal allocation of requests in CDN networks;
• The models and algorithms were proposed for automated identification of Web users’ activityand their interestsbasing on log files;
• Modified VIKOR method was proposed for multi-criteria assessment of the alternatives.