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The aim of this article is to describe the design, implementation and evaluation of the educational application to support learning of data mining algorithms. The role of the application is to help students to better understand the algorithms such as Naive Bayes classifier, decision trees and association rules. The application also includes a test area that allows students to generate and solve different...
Visual data mining techniques can display the process of data mining and results to the user graphically, which makes the user more perceptual and easy to understand the meaning of the mining process and its results and moreover it is very important in data mining. However, most of the visual data mining now is progressed with the result of visualization. At the same time, it is not suitable for the...
Cancer is currently a major cause of death, which resulted in great interest in the mechanisms of this disease, and how to prevent or cure it. Certain cytokines are spotlighted to be a key to solving this problem, since they play a role in the immune system against cancer. Thus, our goal is to analyze various cytokines and to mine their rules. In this study, we aimed to mine a common rule between...
DFNA5's mutations are known as the reason of autosomal dominant non-syndromic hearing loss (ADNSHL). To date, DFNA5 has been mostly experimented by particular families' DNA samples. By using three homo sapiens deafness sequences provided by ncbi, we investigated amino acid sequences in order to analyze relationships among mutants. We used apriori algorithm to find common amino acid which indicates...
The important goal in data mining is to reveal hidden knowledge from data and various algorithms have been proposed so far. But the problem is that typically not all rules are interesting - only small fractions of the generated rules would be of interest to any given user. Hence, numerous measures such as confidence, support, lift, information gain, and so on, have been proposed to determine the best...
Recently association rule mining algorithms are using to solve data mining problem in a popular manner. Rule based mining can be performed through either supervised learning or unsupervised learning techniques. Among the wide range of available approaches, it is always challenging to select the optimum algorithm for rule based mining task. The aim of this research is to compare the performance between...
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