Search Results - subject:"K-Nearest Neighbor"

An age grouping framework for multi-population mortality modeling

Câmpeanu, Cezar A.; Meng, Yechao - In: Risks : open access journal 14 (2026) 3, pp. 1-28

This study extends existing mortality prediction frameworks by incorporating information borrowed from population-gender-age subgroups that exhibit similar mortality patterns. The borrowed information is integrated into classical mortality models to improve the accuracy of future mortality rate...

Persistent link: https://www.econbiz.de/10015639032

Comparative study of agricultural value added in China and india on CO₂ emissions : based on K-nearest neighbor algorithm

Abdelsamiea, Abdelsamiea Tahsin; Radwan, Mustafa; Abd … - In: International Journal of Energy Economics and Policy : IJEEP 15 (2025) 6, pp. 144-149

Persistent link: https://www.econbiz.de/10015481260

Modelling Tinnitus Functional Index reduction using supervised machine learning algorithms

Agyemang, Edmund Fosu - In: Statistics in transition : an international journal of … 25 (2024) 4, pp. 51-77

algorithms, focusing primarily on Ordinary Least Squares (OLS), K-Nearest Neighbor (KNN), Ridge, and Lasso regressions. Our …

Persistent link: https://www.econbiz.de/10015338081

A comparative study of statistical machine learning methods for condition monitoring of electric drive trains in supply chains

Lahmiri, Salim - In: Supply chain analytics 2 (2023), pp. 1-7

condition monitoring of electric drive trains in supply chains. Large data is used to train linear discriminant analysis, K-nearest … neighbor algorithm, naïve Bayes, kernel naïve Bayes, decision trees, and support vector machine to distinguish between eleven …

Persistent link: https://www.econbiz.de/10014516481

An exploratory data analysis approach for analyzing financial accounting data using machine learning

Chakri, Potta; Pratap, Saurabh; Lakshay; Gouda, Sanjeeb … - 2023

. Four supervised machine learning models are employed: Linear Regression, K-Nearest Neighbor, Support Vector Regressor, and …

Persistent link: https://www.econbiz.de/10014436390

Integrated electric ground vehicle and drone with blockchain-driven approach for routing delivery

Nugraha, Ramdhan; Rendragraha, Adriansyah Dwi; Shin, … - In: Computers & operations research : an international journal 180 (2025), pp. 1-22

Persistent link: https://www.econbiz.de/10015433663

Do past ESG scores efficiently predict future ESG performance?

Taskin, Dilvin; Sariyer, Görkem; Acar, Ece; Cagli, Efe … - In: Research in international business and finance 74 (2025), pp. 1-13

Persistent link: https://www.econbiz.de/10015606504

Harvesting online reviews to identify the competitor set in a service business : evidence from the hotel industry

Ye, Fei; Xia, Qian; Zhang, Minhao; Zhan, Yuanzhu; Li, Yina - In: Journal of service research 25 (2022) 2, pp. 301-327

Persistent link: https://www.econbiz.de/10013268024

A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning

Bansal, Malti; Goyal, Apoorva; Choudhary, Apoorva - 2022

machine learning algorithms namely-K-Nearest Neighbor (KNN), Genetic Algorithm (GA), Support Vector Machine (SVM), Decision …

Persistent link: https://www.econbiz.de/10013339256

Beyond accuracy : the advantages of the k-nearest neighbor algorithm for hotel revenue management forecasting

Webb, Timothy; Lee, Misuk; Schwartz, Zvi; Vouk, Ira - In: Tourism economics : the business and finance of tourism … 30 (2024) 5, pp. 1216-1236

Persistent link: https://www.econbiz.de/10015056864