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Dropout rates for students in correspondence and open courses are on increase. There is a need of analysis of factors causing increase in dropout rate. The discovery of hidden knowledge from the educational data system by the effective process of data mining technology to analyze factors affecting student drop out can lead to a better academic planning and management to reduce students drop out from...
Now a day's most of the people suffer from brain related neurodegenerative disorders. These disorders lead to various diseases. Dementia is one such disease. Dementia is a general term for a decline in mental ability severe enough to interfere with daily life. Alzheimer's disease is the most common type of dementia. Alzheimer's disease is one of the types of the dementia which accounts to 60–80% of...
This paper compares performance of several classifiers provided in WEKA such as Bayes, decision tree and classification rules in classifying student's learning style. The student's preferences and behavior while using e-learning system have been observed and analyzed and twenty attributes have been selected to map into Felder Silverman learning style model. There are four learning dimensions in Felder...
The use of data mining approaches in the domain of medicine is increasing rapidly. The effectiveness of these approaches to classification and prediction has improved the performance of their systems. These are particularly useful to medical practitioners in decision making. In this paper, we present an analysis of prediction of the survivability of the burn patients. The machine learning algorithm...
This paper presents G-REX, a versatile data mining framework based on genetic programming. What differs G-REX from other GP frameworks is that it doesn't strive to be a general purpose framework. This allows G-REX to include more functionality specific to data mining like preprocessing, evaluation- and optimization methods, but also a multitude of predefined classification and regression models. Examples...
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