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Association Rules Extraction for Customer Segmentation in the SMEs Sector Using the Apriori Algorithm
(Procedia Computer Science, 2019)
Data Mining applied to the field of commercialization allows, among other aspects, to discover patterns of behavior in clients,
which companies can use to create marketing strategies addressed to their different types of ...
Recommendation of energy ffficiency indexes for the coffee sector in Honduras using multivariate statistics
(Corporación Universidad de la Costa, 2020-09-08)
The objectives of this study were to define and determine the energy efficiency indexes that should be considered to measure and analyze the energy performance in enterprises engaged in processing green coffee for export. ...
Early warning method for the commodity prices based on artificial neural networks: SMEs case
(Procedia Computer Science, 2019)
Applications based on Artificial Neural Networks (ANN) have been developed thanks to the advance of the
technological progress which has permitted the development of sales forecasting on consumer products, improving
the ...
Method for the recovery of images in databases of Rice grains from visual content
(Corporación Universidad de la Costa, 2021)
This paper presents a method for detecting and identifying defects in polished rice grains from their scanned image using an expert system. The sample used is designed to contain specimens with the most common defects. ...
Modeling and simulating for the treatment of subjectivity in the process of choosing personnel using fuzzy logic
(Universidad de la Costa, 2019)
Every day organizations pay more attention to Human Resources Management, because the human factor is preponderant in the results of it. One of the important policies is the Selection of Personnel, these are needed for ...