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The development of a classification model for predicting the performance of forecasting methods for naval spare parts demand
Moon, Seongmin; Simpson, Andrew; Hicks, Christian - In: International journal of production economics 143 (2013) 2, pp. 449-454
Persistent link: https://www.econbiz.de/10009755490
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A comparative analysis of machine learning algorithms for image classification : evaluating performance
Kapse, Manohar; Elangovan, N.; Lalkiya, M.; Deshpande, … - In: Data-Driven Decision Making, (pp. 59-75). 2024
Persistent link: https://www.econbiz.de/10014633436
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Spatial characteristics and dynamic modeling of informal economies
Fantcho, Joseph Emmanuel; N'Gouan, Patrick K. - In: International economics and economic policy 21 (2024) 2, pp. 483-514
Persistent link: https://www.econbiz.de/10014546142
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Operations-based classification of the bullwhip effect
Gupta, Sachin; Saxena, Anurag - In: Journal of modelling in management 17 (2022) 1, pp. 134-153
Persistent link: https://www.econbiz.de/10012886287
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Deep learning classification : modeling discrete labor choice
Maliar, Lilia; Maliar, Serguei - In: Journal of economic dynamics & control 135 (2022), pp. 1-25
Persistent link: https://www.econbiz.de/10013387814
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Classification of m-payment users' behavior using machine learning models
Aslam, Faheem; Awan, Tahir Mumtaz; Fatima, Tayyba - In: Journal of financial services marketing 27 (2022) 3, pp. 264-275
Persistent link: https://www.econbiz.de/10013390983
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Temporally adaptive estimation of logistic classifiers on data streams
Anagnostopoulos, Christoforos; Tasoulis, Dimitris; … - In: Advances in Data Analysis and Classification 3 (2009) 3, pp. 243-261
Persistent link: https://www.econbiz.de/10008491573
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Predicting partial customer churn using Markov for discrimination for modeling first purchase sequences
Miguéis, Vera; Poel, Dirk; Camanho, Ana; Cunha, João … - In: Advances in Data Analysis and Classification 6 (2012) 4, pp. 337-353
modeled using Markov for discrimination. Two classification techniques are used in the empirical study: logistic regression …
Persistent link: https://www.econbiz.de/10010600728
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The development of a classification model for predicting the performance of forecasting methods for naval spare parts demand
Moon, Seongmin; Simpson, Andrew; Hicks, Christian - In: International Journal of Production Economics 143 (2013) 2, pp. 449-454
methods. A logistic regression classification model for predicting the relative performance of the alternative forecasting … methods for the spare parts demand by multivariate demand features was developed. This classification model minimised …
Persistent link: https://www.econbiz.de/10010665771
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Mathematical Modeling and Analysis of Classified Marketing of Agricultural Products
WANG, Fengying - In: Asian Agricultural Research 06 (2014) 02
Classified marketing of agricultural products was analyzed using the Logistic Regression Model. This method can take full advantage of information in agricultural product database, to find factors influencing best selling degree of agricultural products, and make quantitative analysis...
Persistent link: https://www.econbiz.de/10011078238