Development of Learning Associative Rules in the Context of Solving the Problems of Society

The historical stages of the development of learning associative rules were examined and were analyzed further prospects in this paper. The software for the implementation of the algorithm for searching for associative rules is analyzed. Furthermore, its features are noted. One of the methods is used to determine the relationship between the skills and the level of remuneration of the profession “agronomist”. Regularities are revealed, estimates of the significance of reliability and lift are obtained using the method of associative rules. The result obtained can help participants in the agricultural market to focus on the skill sets necessary to obtain a given salary level. Job seekers in this field will be able to assess their value and identify areas of knowledge for their further study 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 in various relevant fields of activity.