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In education, student engagement refers to the degree of attention, curiosity, interest, optimism, and passion that students show when they are learning or being taught, which extends to the level of motivation they have to learn and progress in their education. This paper is intended to automatically decide whether students are interested in the class or they are not; this information was obtained...
Recent advances in text detection allow for finnding text regions in natural scenes rather accurately. Global features in content based image retrieval, however, typically do not cover such a high level information. While characteristics of text regions may be reflected by texture or color properties, the respective pixels are not treated in a different way. In this contribution we investigate the...
Today, there is the need for establishing a strong relationship between Business Intelligence (BI) and Energy Markets (EM). This is crucial because of enormous and increasing data volumes generated and stored day by day in the EM. The data volume turns impossible to obtain clear data understanding through human analysis or with traditional tools. BI can be the solution. In this sense, we present a...
The corporative information system SICORP (from its Spanish name, Sistema de Informacion Corporativa) of Mexico's Federal Electricity Commission (CFE), which presently dominates more than 90% of the electric energy market in Mexico, is presented here. This paper describes how the digital dashboards, which present information in an ideal way for consulting by company directors, are implemented by taking...
We present our experiences in five power systems domains where we applied diverse knowledge discovery - data mining techniques. The first domain is about electric generator diagnosis. The second one is related to flashover forecasting in high-voltage insulators. The third case is about obtaining expert knowledge, applying data mining techniques to hydroelectric and thermoelectric utilities databases...
Currently there exist diverse feature selection ranking methods and metrics for databases with pure discrete data (attributes and class), or pure continuous data. However, little work has been done for the case of continuous attributes with discrete class, and at the same time evaluating attribute subsets in a non-myopic fashion, considering its inter-dependencies or interactions. Normally what we...
Nowadays there exist diverse feature selection ranking methods and metrics for databases with pure discrete data (attributes and class), or pure continuous data. However, little work has been done for the case of continuous attributes with discrete class, and at the same time evaluating attribute subsets considering its inter- dependencies or interactions. Normally what we can do is perform discretization,...
The integration of four artificial intelligence tools that combine the ID3 algorithm and the case-based reasoning method of the nearest neighbor are proposed to solve the problem of characterizing the flashover on high-voltage insulators. The first tool uses data mining to build a classification or decision tree from historic data, the second, generates production rules, the third, operates the decision...
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