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A Hybrid Model based on Ant Lion Optimization Algorithm and K-Nearest Neighbors Algorithm to Diagnose Liver Disease

کلیدواژه: Ant lion optimization (ALO) algorithm,Classification,Diagnosis of liver disease,K-nearest neighbors (KNN) algorithm

نویسندگان: JAVADZADEH SH., Shayanfar H., Soleimanian Qarachapaq F.

ناشر: مجله دانشگاه علوم پزشکی ایلام - Journal of Ilam University of Medical Sciences

Introduction: Given that a huge amount of cost is imposed on public and private hospitals from the department of liver diseases, it is necessary to provide a method to predict liver diseases. This study aimed to propose a hybrid model based on the Ant Lion Optimization algorithm and K-Nearest Neighb... ادامه

سال:2021

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Hybrid Model Binary Ant Colony Algorithm and Support Vector Machine (BACO-SVM) for Feature Selection and Classification of Bank Customers with Case Study

کلیدواژه: credit risk,credit rating,support vector machine,feature selection,Binary ACO,VIKOR

نویسندگان: HUSSEINZADEH KASHAN ALI, GAROUSI FATEMEH

ناشر: راهبرد مدیریت مالی - JOURNAL OF FINANCIAL MANAGEMENT STRATEGY

One of the most importAnt issues faced by banks and financial institutions is the issue of credit risk. The significAnt amount of deferred bank claims around the world indicates the importance of this issue and the need to pay attention to it. So far, many efforts have been made to provide an effect... ادامه

سال:2020

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