The seed sector faces several challenges when it comes to ensuring a quick and accurate decision making when working with large amounts of data on physiological quality of seed lots, which makes the ...
Since its initial release in 2016, TikTok has become the fastest-growing social media platform. If you’re looking to learn more about the popular short-form video app and how your brand can use it, ...
Abstract: Data mining is the process of extracting the useful information from the large existing datasets. Data Mining allows users to analyze data from various dimension, categorize the data, and ...
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Traffic accidents are considered the leading cause of death for the age group (5–29). They cause approximately 1.3 million deaths every year. Different factors cause traffic accidents; one of them is ...
A large number of predictor variables can be used in digital soil mapping; however, the presence of irrelevant covariables may compromise the prediction of soil types. Thus, algorithms can be applied ...
1 Faculty of Engineering, Autonomous University of Tamaulipas, Tampico, Tamaulipas, Mexico. 2 Tec NM/Madero Institute of Technology, Madero City, Tamaulipas, Mexico. University dropout is a growing ...
This article presents the results of the research work of the GIGA research group of the Distrital University in Bogota Colombia in the framework of the advanced doctoral research in the engineering ...
Data Mining in the Mixed Methods: Application to the Study of the Psychological Profiles of Athletes
Data mining is seen as a set of techniques and technologies allowing to extract, automatically or semi-automatically, a lot of useful information, models, and tendencies from a big set of data.
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