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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 ...
Unbalanced data processing using oversampling: machine Learning
(Corporación Universidad de la Costa, 2020)
Nowadays, the DL algorithms show good results when used in the solution of different problems which present similar characteristics as the great amount of data and high dimensionality. However, one of the main challenges ...
Prediction of the efficiency for decision making in the agricultural sector through artificial intelligence
(Corporación Universidad de la Costa, 2021)
Agriculture plays an important role in Latin American countries where the demand for provisions to reduce hunger and poverty represents a significant priority in order to improve the development and quality of life in the ...
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 ...
Design and implementation of a system to determine tax evasion through de stochastic techniques
(Corporación Universidad de la Costa, 2020)
The dominant view on the study and practice of the tax service, mentions that taxpayers will always seek their own interest, for that reason taxes will be considered costs that could be avoided, unless the probability of ...
Big data aplication for selecting theses topics
(Procedia Computer Science, 2019)
The chairs of thesis research in Computer Sciences at the University of Mumbai, in India, have different tools that provide academic support to those who begin the course. Students present difficulty in selecting the topic ...
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 ...
Model for predicting academic performance in virtual courses through supervised learning
(Corporación Universidad de la Costa, 2021)
Since virtual courses are asynchronous and non-presential environments, the following of student tasks can be a hard work. Virtual Education and Learning Environments (VELE) often provide tools for this purpose (Zaharia ...
Identification of author profiles through social networks
(Corporación Universidad de la Costa, 2021)
The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions, and emoticons to help the pre-processing of texts published in social networks. The use of these dictionaries is intended to ...
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 ...