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Intelligent and Distributed Data Warehouse for Student’s Academic Performance Analysis
(International Symposium on Neural Networks, 2019-06-26)
In the academic world, a large amount of data is handled each day, ranging from student’s assessments to their socio-economic data. In order to analyze this historical information, an interesting alternative is to implement ...
Multi-dimension Tensor Factorization Collaborative Filtering Recommendation for Academic Profiles
(International Symposium on Neural Networks, 2019-06-26)
The choice of academic itineraries and/or optional subjects to attend is not usually an easy decision since, in most cases, students lack the information, maturity, and knowledge required to make right decisions. This paper ...
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 ...
The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice
(International Symposium on Neural Networks, 2019-06-26)
Agricultural activity is characterized by an intensive use of capital and a considerable dependence on external financing. Access to credit is often limited by the scarcity of resources and lack of guarantees, seriously ...
U-Control Chart Based Differential Evolution Clustering for Determining the Number of Cluster in k-Means
(International Conference on Green, Pervasive, and Cloud Computing, 2019-04-27)
The automatic clustering differential evolution (ACDE) is one of the clustering methods that are able to determine the cluster number automatically. However, ACDE still makes use of the manual strategy to determine k ...
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 ...
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 ...
Competitions of multi-agent systems for teaching artificial intelligence
(Universidad de la Costa, 2019)
This paper presents an approach based on competitions of multiagent systems as the basis for teaching advanced topics in Artificial Intelligence.
The method was applied in the Cognitive Robotics course with students of ...
An early warning method for agricultural products price spike based on artificial neural networks prediction
(Universidad de la Costa, 2020)
In general, the agricultural producing sector is affected by the diversity in supply, mostly from small companies, in addition to the rigidity of the demand, the territorial dispersion, the seasonality or the generation ...
Applying a business intelligence system in a big data context: production companies
(Universidad de la Costa, 2020-01-07)
Industry 4.0 promotes automation through computer systems of the manufacturing industry and its objective is the Smart Factory. Its development is considered a key factor in the strategic positioning not only of companies, ...