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a review of supervised classification based on contrast patterns: applications, trends, and challenges
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نویسنده
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loyola-gonzález octavio ,medina-pérez miguel angel ,choo kim-kwang raymond
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منبع
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journal of grid computing - 2020 - دوره : 18 - شماره : 4 - صفحه:797 -845
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چکیده
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Supervised classification based on contrast patterns (cp) is a trending topic in the pattern recognition literature, partly because it contains an important family of both understandable and accurate classifiers. in this paper, we survey 105 articles and provide an in-depth review of cp-based supervised classification and its applications. based on our review, we present a taxonomy of the existing application domains of cp-based supervised classification, and a scientometric study. we also discuss potential future research opportunities.
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کلیدواژه
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supervised classification ,contrast patterns ,review ,taxonomy
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آدرس
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tecnologico de monterrey, mexico, tecnologico de monterrey, méxico, university of texas at san antonio, department of information systems and cyber security, usa
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Authors
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