Weighted sampling method for improving performance prediction: The case of pig management system

Autor:	Young Chan Choe, Seo Youn Lee, Ik-Hoon Jang
Rok vydání:	2015
Předmět:	education.field_of_study Computer science business.industry fungi Population food and beverages computer.software_genre Machine learning Improved performance Management system Performance prediction Production (economics) Data mining Artificial intelligence education business computer
Zdroj:	Advanced Science and Technology Letters.
ISSN:	2287-1233
Popis:	The main purpose of this paper is to introduce a weighted sampling method that can reduce bias in a swine production prediction model and to propose improved performance effect. The results of this study indicate that applying a weighted sampling method can increase prediction accuracy when predicting production by using swine management system users' data that have different distributions from a population. This can solve problems with decreasing prediction accuracy due to difficulty in the model's input data representing a population.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9ad3feaa5fcfcdf63b49b759c3f8ab7d https://doi.org/10.14257/astl.2015.95.14 Zobrazit plný text záznamu