Educational data mining
Mapeamento sistemático da literatura brasileira sobre educational data mining e learning analytics / Systematic mapping of brazilian literature on educational data mining and learning analytics
... Este artigo apresenta um Mapeamento Sistemático (MS) sobre a aplicação de Educational Data Mining (EDM) e Learning Analytics (LA) em pesquisas realizadas no contexto do Brasil no quadriênio ...
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Hybrid CHAID a key for MUSTAS Framework in Educational Data Mining
... in Educational Data Mining due to the compelling need for quality in higher education and the need to know student behavioural pattern to cater individual ...in educational data ...
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Educational Data Mining & Students’ Performance Prediction
... significant data mining research using the Naïve Bayes classification method, on a group of BCA students (Bachelor of Computer Applications) in ...a data source of predictive variables; (b) ...
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Review Study of Mining Big Data
... Big Data which developed dataaggregation and capacity of programming tools are applied regularly to taking, monitoring and investigating "middle of expired time" ...Big Data is to investigate ...
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A survey of data mining & its applications
... of data mining has evolved from its roots in databases, statistics, artificial intelligence, information theory and algorithms in to a core set of techniques that have been applied to a range of ...and ...
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Data Mining-driven Manufacturing Process Optimization
... the data mining-based analysis of select- ed process characteristics defined by the user to provide comprehensible and interpretable explication models, ...classical data mining-based failure ...
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Data Mining for Gender Differences in Tinnitus
... this data was given by Meikle and Griest ...audiometric data, as this is in the form of real-valued, continuous data, and the Chi-squared test needs categorical data to work ...
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INTEGRATING DATA MINING INTO BUSINESS INTELLIGENCE
... • Market Basket Analysis – This effective data mining modeling technique is used to determine items that are frequently sold together. Using association rules, a nationwide grocery store identified hidden ...
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Mining TCGA data using Boolean implications.
... discretize data because there are tradeoffs that compen- sate for the loss of ...the data for mutation is discrete and hence a Boolean abstraction loses very little ...the data. These data are ...
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A Study on Selective Data Mining Algorithms
... The accuracy of the k-NN algorithm can be severely degraded by the presence of noisy or irrelevant features, or if the feature scales are not consistent with their importance. Much research effort has been put ...
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Using Data Mining with Time Series Data in Short-Term Stocks Prediction: A Literature Review
... The OECD Glossary of statistical terms [8] presents the following definition: “A time series is a set of regular time-ordered observations of a quantitative characteristic of an individual or collective phenomenon taken ...
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Review of Domain Driven Data Mining
... Human involvement is embodied through the collaboration among humans (including users and business analysts, essentially domain experts) and data mining systems. This is accomplished through the ...
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Use of Data Mining Techniques to Detect Medical Fraud in Health Insurance
... of data-mining technology to design models and find out cases requiring for manual inspection so as to save time and ...periodic data (over 2 million records) are fed back to the ...
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Evaluation and Improvement of Procurement Process with Data Analytics
... Chae and Olson [4] discussed the role of analytical capability for sourcing in Supply Chain Management. There is a strong application of analytical IT to support supplier selection within supply chains. Prescriptive ...
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CMG Rapaz Lerias
... ao Data Mining, o processo inicia-se com o desenvolvimento de algoritmos por parte dos investigadores e termina, como já se disse, na validação dos modelos de previsão criados a partir da aplicação desses ...
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VOCALIZATION DATA MINING FOR ESTIMATING SWINE STRESS CONDITIONS
... ABSTRACT: This study aimed to identify differences in swine vocalization pattern according to animal gender and different stress conditions. A total of 150 barrow males and 150 females (Dalland ® genetic strain), aged ...
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Key word Forecasting, Data mining, HDI, Life
... using data mining ...SMOReg data mining algorithm was used in the models with multivariate time series to make predictions; this algorithm performed the best in the tests developed during the ...
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Key word Forecasting, Data mining, HDI, Life
... using data mining ...SMOReg data mining algorithm was used in the models with multivariate time series to make predictions; this algorithm performed the best in the tests developed during the ...
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Mining Big Data to Predicting Future
... emerging data revolution, and the possibilities of making use of Big Data for measuring and monitoring progress in ...alternative data source, but with some degree of caution, as bigger data ...
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Orientador: Ricardo Luís Rosa Jardim Gonçalves Professor Auxiliar, Departamento de Engenharia Electrotécnica Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa Co-orientador: João Filipe dos Santos Sarraipa, Investigador, UNINOVA
... oLEARCH is responsible to provide knowledge maintenance abilities to the proposed architecture. It uses a machine learning technique, which main purpose is to find and describe structural patterns in data [49]. ...
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