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Differences by country in academic production indexed in Scopus on intellectual property and innovation systems (2001-2021)
(Elsevier BV, 2022)
This paper aims to establish what are the differences by country in scientific production on intellectual property and innovation systems between 2001 and 2021? We use text mining, non-parametric statistics, and two ...
Forecast of operational data in electric energy plants using adaptive algorithm
(Corporación Universidad de la Costa, 2020)
Traditional time series methods offer models whose parameters remain constant over time. However, industrial supply and demand processes require timely decisions based on a dynamic reality. A change in configuration, turning ...
Dropout-permanence analysis of university students using data mining
(Universidad de la Costa, 2019)
Dropout is a rejection method present in every educational system,
related to the various selection processes, academic performance, and the efficiency of the system in general, that is, the result of the combination and ...
Integration of data mining techniques to postgreSQL database manager system
(Procedia Computer Science, 2019)
Data mining is a technique that allows to obtain patterns or models from the gathered data. This technique is applied in all kind of environments such as in the biological field, educational and financial applications, ...
Database knowledge discovery In marketing companies
(Universidad de la Costa, 2019)
In recent years, technological development in both the computing and data transmission fields has allowed the storage and management of large volumes of data. Today, businesses move in highly competitive and continuous ...
Using Data-mining Techniques for the prediction of the severity of road crashes in Cartagena, Colombia
(Universidad de la Costa, 2019)
Objective: Analyze the road crashes in Cartagena (Colombia) and the factors associated with the collision and severity. The aim is to establish a set of rules for defining countermeasures to improve road safety. Methods: ...
Association rules implementation for affinity analysis between elements composing multimedia objects
(Journal of Theoretical and Applied Information Technology, 2019-03-31)
The multimedia objects are a constantly growing resource in the world wide web, consequently it has
generated as a necessity the design of methods and tools that allow to obtain new knowledge from the
information analyzed. ...
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 ...
Association rule mining for customer segmentation in the SMEs sector using the apriori algorithm
(Universidad de la Costa, 2019-07-19)
Customer´s segmentation is used as a marketing differentiation tool which allows organizations to understand their customers and build differentiated strategies. This research focuses on a database from the SMEs sector in ...
Predictive model for detecting customer’s purchasing behavior using data mining
(2019)
Profitability is one of the most important marketing objectives in a company, so estimating and detecting in advance what a customer will purchase from a defined product portfolio is an important factor. Considering that ...