Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6900858 | Procedia Computer Science | 2018 | 6 Pages |
Abstract
Under the present-day global crisis, global economy regionalization and technological areas redistribution there has been seen an unprecedented uncertainty growth along with various risks, which makes it harder to take managing decisions. The scenario approach appears to be one of the most popular when it comes to modelling weakly-structured subject fields and complex problems. Fuzzy cognitive maps have good prospects in the field, as they enable us to describe both the structure and the dynamic of the area under study. This paper goes along the topical automated data science and focuses on developing the OCAM (Online Cognitive Automated Mapper) system that allows to automatically-build cognitive maps without turning to experts. The cognitive map building data source of this system is website logs. The article features the main algorithms, the system architecture and some of the system work results.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Vasiliy S. Kireev, Ivan S. Smirnov, Victor S. Tyunyakov,