Search Results - subject:"Nearest Neighbor"

Fehlende Datensätze in der Meldung: Imputation versus Neuanforderung. Möglichkeiten und Grenzen der Imputation bei der Erhebung zu Tarifinformationen

Scharfe, Simone; Racky, Matthias; Lange, Kerstin - In: WISTA – Wirtschaft und Statistik 76 (2024) 1, pp. 39-53

hier vorgestellte Studie untersucht, ob es möglich ist, die Angaben zur tarifvertraglichen Bindung durch ein Nearest-Neighbor … report is incomplete. The study presented here examines whether a nearest-neighbor imputation can be used to estimate the …

Persistent link: https://www.econbiz.de/10014485019

Fehlende Datensätze in der Meldung : Imputation versus Neuanforderung : Möglichkeiten und Grenzen der Imputation bei der Erhebung zu Tarifinformationen

Scharfe, Simone; Racky, Matthias; Lange, Kerstin - In: Wirtschaft und Statistik : WISTA (2024) 1, pp. 39-53

Persistent link: https://www.econbiz.de/10014483372

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

How to predict the performance of NBA draft prospects

Czasonis, Megan; Kritzman, Mark; Kulasekaran, Cel; … - 2023 - This version November 27, 2023

Persistent link: https://www.econbiz.de/10014464533

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

Utility-maximizing binary prediction via the nearest neighbor method and its application to credit scoring

Su, Jiun-Hua - In: Journal of business & economic statistics : JBES ; a … 43 (2025) 4, pp. 1008-1020

Persistent link: https://www.econbiz.de/10015534584

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