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Automatic heart disease prediction using feature selection and data mining technique / Lê Minh Hùng, Trần Đình Toàn, Trần Văn Lang // Tạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics . - 2018. - Page 33 - 47. - ISSN:


15 p.
Ký hiệu phân loại (DDC): 629.8
This paper presents an automatic Heart Disease (HD) prediction method based on feature selection with data mining techniques using the provided symptoms and clinical information assigned in the patients dataset. Data mining which allows the extraction of hidden knowledges from the data and explores the relationship between attributes, is the promising technique for HD prediction. HD symptoms can be effectively learned by the computer to classify HD into different classes.
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Minimizing makespan of personal scheduling problem in available time-windows with split—min and setup—time constraints // Tạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics . - 2018. - Page 97 - 111. - ISSN:


15p.
Ký hiệu phân loại (DDC): 004.33
This paper deals with personal scheduling problem in available time- windows with split-min and setup-time constraints. The jobs are split table into sub-job and a common lower bound on the size of each sub-job is imposed. The objective function aims to find a feasible schedule that minimizes the total completion time of all jobs. The proposed scheduling problem was proved to be strongly N P- hard by a reduction to previous problem in the preliminary results. We propose in this paper au exact method based on MILP model to find optimal solution. some heuristics to find feasible solution and a meta-heuristics based on tabu search algorithm to find good solution. The computational results show the performance of proposed exact method some heuristics and tabu search algorithm.
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