Analysis of the required skills of veterinarians using associative rules

Issue № 6, 2024, article № 3, pages 25-31

Language: Russian

Original language title: АНАЛИЗ ВОСТРЕБОВАННОСТИ НАВЫКОВ ВЕТЕРИНАРОВ НА ОСНОВЕ ВЫЯВЛЕНИЯ АССОЦИАТИВНЫХ ПРАВИЛ

Keywords: ASSOCIATIVE RULES, AUTOMATED DATA COLLECTION, VETERINARIAN PROFESSION, SKILLS, REMUNERATION

Abstract: This article examines the historical stages of the development of learning associative rules and analyzes further prospects. One of the methods is used to determine the relationship between the skills and the level of remuneration of the veterinarian profession. For the study, the authors automatically collected data through the application programming interface (API) from the Heard Hunter website. There are identified patterns and estimates of the values of reliability and lift indicators using the method of associative rules. In particular, the authors identified the most in-demand skills: searching for information on the Internet, working with the cashier for vacancies with a proposed salary level of up to 45 thousand rubles. inclusive; focus on results and the desire to study in offers with a salary level from 45 thousand rubles to 70 thousand rubles inclusive. And in vacancies with the highest salary levels, the following are most in demand: analysis of the current situation, internal control, high stress tolerance and energy, diagnostics, the ability to resolve conflicts and disputes, work with objections, be an experienced user of a personal computer, also focus on results, planning and organization, in particular, sales planning, knowledge of poultry farming, interaction with key clients and other stakeholders, communication skills, workflow, B2B sales, commitment to self-development and enthusiasm. The result obtained will help labor market participants to focus on the skill sets necessary to obtain a given salary level. Job seekers will be able to assess their human capital and identify areas of knowledge for further improvement in order to increase the level of remuneration. The identification of associative rules has become possible due to the possibility of using open big data and the development of information technologies. The given example of calculations is the basis for further consideration and identification of associative rules for various professions and in various fields of activity.

Authors: Bukova Anna Antonovna, Kolodezeva Ekaterina Vadimovna, Skvortsov Andrei Igorevich, Aletdinova Anna Aleksandrovna