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Low-Cost information transfer system between vehicles on roads
(2019-02-27)
The authentication process is a key component to increase security in a vehicle network. Most of the authentication protocols proposed in the literature are based on asymmetric cryptography, and specifically on the use of ...
Integration of Data Mining Classification Techniques and Ensemble Learning for Predicting the Type of Breast Cancer Recurrence
(International Conference on Green, Pervasive, and Cloud Computing, 2019-04-27)
Conservative surgery plus radiotherapy is an alternative to radical mastectomy in the early stages of breast cancer, presenting equivalent survival rates. Data mining facilitates to manage the data and provide the useful ...
Multiple linear regression analysis of factors affecting the consumption
(Universidad de la Costa, 2019)
Econometrics provides the researchers with methods, theoretical basements, and procedures that allow the formulation and estimation of economic models that explain the study variable during a reference time period, as well ...
Model and simulation of a distribution logistic system for learning
(Procedia Computer Science, 2019)
Computer-based simulation is one of the most extensively used tools of Information and Communication Technologies (ICT). This technique allows to simulate the operation of different kinds of facilities or processes in the ...
Learning style preferences of college students using big data
(Procedia Computer Science, 2019)
Learning styles is one of the most studied topics in the field of education and the research results have generated relevant changes in the teaching-learning process. Currently, there are several theoretical models that ...
Improvements for determining the number of clusters in k-means for innovation databases in SMEs
(Procedia Computer Science, 2019)
The Automatic Clustering using Differential Evolution (ACDE) is one of the grouping methods capable of automatically
determining the number of the cluster. However, ACDE continues making use of the strategy manual to ...
Mixture structural equation models for classifying university student dropout in latin america
(Procedia Computer Science, 2019)
This research seeks to develop a model that allows consider the different forms of heterogeneity of international dropout data and also classify students who continue studying and those who drop out. Specifically, through ...
Risk analysis of using big data in computer sciences
(Procedia Computer Science, 2019)
Today, as technologies mature and people are encouraged to contribute data to organizations’ databases, more transactions are being captured than ever before. Meanwhile, improvements in data storage technologies have made ...
Influence of knowledge management between the bank and the local socioeconomic development: correlational analysis
(Universidad de la Costa, 2019)
Knowledge management in the bank applied to the requirements of the Local Socioeconomic development (LSED) is a topic without concrete results about the implemented strategies. Given the situation, this study seeks to ...