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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 ...
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 ...
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 ...
Selection of the best regression model to explain the variables that influence labor accident electrical company case
(Medwell Journals, 2017)
The present research proposes an alternative to select the best model that explains the relation of the variables that influence the labor accident in an electric power company. Among the techniques and
tools used are ...
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 ...
Recovery of scientific data using Intelligent Distributed Data Warehouse
(Procedia Computer Science, 2019)
A Retrieval System requires several components that define its functionality and behavior. In the case of a meta-search engine
for the retrieval of scientific data, a schema that defines the way to store such data is ...
An intelligent approach for the design and development of a personalized system of knowledge representation
(Procedia Computer Science, 2019)
This article proposes a generic presentation system for hypermedia systems of adaptive teaching that is highly independent from the representation of domain knowledge and the application state maintenance. Generality is ...
Recommendation of collaborative filtering for a technological surveillance model using Multi-Dimension Tensor Factorization
(Procedia Computer Science, 2019)
Technological surveillance in research centers and universities focuses on carrying out a systematic follow-up on the development
of research lines, the research leaders, the possibilities of scientific-technological ...