Algorithmic procedure for constructing the truncated basic set of characteristics in the method of logical analysis of data
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https://www.scopus.com/record/display.uri?eid=2-s2.0-85048599656&origin=resultslist&sort=plf-f&src=s&st1=Algorithmic+Procedure+for+Constructing+the+Truncated+Basic+Set+of+Characteristics+in+the+Method+of+Logical+Analysis+of+Data&st2=&sid=5768f9097517d7019c218bd858bf52bf&sot=b&sdt=b&sl=130&s=TITLE%28Algorithmic+Procedure+for+Constructing+the+Truncated+Basic+Set+of+Characteristics+in+the+Method+of+Logical+Analysis+of+Data%29&relpos=0&citeCnt=0&searchTerm=https://elib.sfu-kras.ru/handle/2311/111136
Дата:
2017-11Журнал:
Proceedings of the 30th International Business Information Management Association Conference IBIMA 2017- Vision 2020Квартиль журнала в Scopus:
без квартиляКвартиль журнала в Web of Science:
без квартиляБиблиографическое описание:
Kuzmich, R. Algorithmic procedure for constructing the truncated basic set of characteristics in the method of logical analysis of data [Текст] / R. Kuzmich, I. Masich, A. Stupina, L. Kazakovtsev // Proceedings of the 30th International Business Information Management Association Conference IBIMA 2017- Vision 2020: Sustainable Economic development, Innovation Management, and Global Growth. — 2017. — С. 5592-5597Текст статьи не публикуется в открытом доступе в соответствии с политикой журнала.
Аннотация:
Authors propose an approach for the identification of a characteristics subset which can separate the positive and negative observations for a classification problemwith high accuracy. The pilot studies of approach were conducted on a problem of forecasting of complications of a myocardial infarction.