Work place: Institute of Information Technology, Azerbaijan National Academy of Sciences 9A, B. Vahabzade Street, AZ1141, Baku, Azerbaijan
E-mail: gnabibayova@gmail.com
Website:
Research Interests: Computer systems and computational processes, Data Mining, Data Structures and Algorithms
Biography
Gulnara Ch. Nabibayova. She is head of department at the Institute of Information Technology of ANAS. She graduated from Mechanics-Mathematics department of Azerbaijan State University (ASU). Her area of interests includes web technologies, Data Warehousing, OLAP and Data Mining technologies, especially in relation with development decision support system available within the framework of e-Azerbaijan State Program.
By Rasim M. Alguliyev Gulnara Ch. Nabibayova Saadat R. Abdullayeva
DOI: https://doi.org/10.5815/ijisa.2020.06.05, Pub. Date: 8 Dec. 2020
The article proposes a comprehensive method for the multicriteria evaluation of websites. The essence of this method is that using this method we can not only evaluate a website traditionally, but also obtain the following useful results: importance coefficient of each of the criteria, the evaluation of the website for each criterion individually. Moreover, we can also compare the sampled websites and then rank them. It is noted that in order to get the precise result, the sampled websites must be referred to the same category, that is, have the same set of criteria for evaluation.
[...] Read more.By Rasim M. Alguliyev Gulnara Ch. Nabibayova Afruz M. Gurbanova
DOI: https://doi.org/10.5815/ijmecs.2019.06.05, Pub. Date: 8 Jun. 2019
In order to improve analytical activities and providing support to decision makers in the field of terminology, the article proposes a decision support system developed based on the data warehouse technologies and online analytical processing OLAP. The architectural and technological model of the system, its integration with the terminological information system is presented. The role of this system in the National Terminology Information System is shown. The article also presents the structure of the data warehouse and the OLAP-cube developed on its basis.
[...] Read more.By Rasim M. Alguliyev Ramiz M. Aliguliyev Gulnara Ch. Nabibayova
DOI: https://doi.org/10.5815/ijisa.2015.11.02, Pub. Date: 8 Oct. 2015
The paper studies the concept of integration, the integration of countries, basic characteristics of the integration of countries, the integration indicators of countries. The number of contacts between countries and the number of contracts signed between countries are offered as the indicators to determine the integration degree of countries. An approach to the design of the data warehouse for the decision support system in the field of foreign policy, using OLAP-technology is offered. Designed polycubic OLAP-model in which each cube is based on a separate data mart. Given the differences between the data warehouse and data mart. Shown that, one of the cubes of this model gives full information about the chosen indicators, including their aggregation on various parameters. Method for measuring the degree of integration of the countries, based on the calculation of the weight coefficients is proposed. In this regard, was described the information model of the relevant subsystem by using graph theory. Practical application of this method was shown. Moreover, the used software was shown.
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