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Publikováno v:
CIT
This research employs a computational intelligence based approach to identify the risk factors of brain cancer. More specifically this research utilizes association rule mining techniques to determine the risk factors derived from the brain cancer li
Publikováno v:
International Journal of Hybrid Intelligent Systems. 10:165-178
Goal of feature selection is to find a suitable feature subset that produces higher accuracy for classifier in the user end. Hybrid methods for feature selection comprised of combination of filter and wrapper approaches have recently been emerged as
Publikováno v:
Expert Systems with Applications. 40:1086-1093
This paper investigates the sick and healthy factors which contribute to heart disease for males and females. Association rule mining, a computational intelligence approach, is used to identify these factors and the UCI Cleveland dataset, a biologica
Publikováno v:
Expert Systems with Applications. 40:96-104
This paper investigates a number of computational intelligence techniques in the detection of heart disease. Particularly, comparison of six well known classifiers for the well used Cleveland data is performed. Further, this paper highlights the pote
Publikováno v:
Expert Systems with Applications. 39:12371-12377
The objective of this paper was to perform a comparative analysis of the computational intelligence algorithms to identify breast cancer in its early stages. Two types of data representations were considered: microarray based and medical imaging base
Publikováno v:
Expert Systems with Applications. 39:5006-5011
The travelling salesman problem (TSP) is a classic problem of combinatorial optimization and has applications in planning, scheduling, and searching in many scientific and engineering fields. Ant colony optimization (ACO) has been successfully used t
Publikováno v:
Intelligent Systems in Accounting, Finance and Management. 19:19-42
In the recent era, computational intelligence techniques have found an increased popularity in addressing varied financial issues, including foreign exchange rate prediction. This article, through an intelligent system research framework, relates the