ABDUCTION APPLICATION IN PROBLEMS OF CLASSIFICATION OF DATA ABOUT OIL AND GAS FACILITIES

Authors

  • В. І. Шекета ІФНТУНГ, 76019, м.Івано-Франківськ, вул. Карпатська, 15, тел. (0342) 727167
  • М. М. Демчина ІФНТУНГ, 76019, м.Івано-Франківськ, вул. Карпатська, 15, тел. (0342) 727167
  • Л. М. Гобир ІФНТУНГ, 76019, м.Івано-Франківськ, вул. Карпатська, 15, тел. (0342) 727167

Keywords:

optimization, intelligent decision support, drilling of oil and gas wells, objective functions, rules, knowledge base, abductive framework, confidence coefficient, limits.

Abstract

The research is devoted to utilization of the abductive reasoning means for data extraction problems. The conducted research shows that data classification can be interpreted as one of the abductive logic programming problems, which allows utilizing of user-defined domain restrictions. Interpretation of classification models based on decision trees made in accordance with the abductive method using domain restrictions allows increasing the efficiency in the case of partial lack of input data. In order to consider the probabilistic information with the help of  the basic and output formal theories, the overall framework was also extended to abductive framework that is based on cost factors and can be used for data mining applications, which will ultimately improve the overall quality of the results. Thus, it was shown that abductive reasoning can be used in the context of classification problems to explain the course of reasoning of the made classification and improve the overall efficiency in the event of the system operation with the partial absence of the input data and external domain knowledge. This approach can be improved by combining different data mining paradigms such as classification, clustering, association rules and by utilizing abductive framework with restrictions.

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Published

12.09.2014

How to Cite

Шекета, В. І., Демчина, М. М., & Гобир, Л. М. (2014). ABDUCTION APPLICATION IN PROBLEMS OF CLASSIFICATION OF DATA ABOUT OIL AND GAS FACILITIES. Oil and Gas Power Engineering, (2(22), 86–97. Retrieved from https://nge.nung.edu.ua/index.php/nge/article/view/323

Issue

Section

SCIENCE AND MODERN TECHNOLOGIES