Comparison of Bayes and Meta Algorithms in Diagnosing Autism
Keywords:
Data Mining, Decision Tree, AutismAbstract
Today, with the advancement of technologies, especially technologies related to information and communication, a massive amount of data is being produced in communication and information networks. One of the necessities for the success of businesses, even on a small scale, is the ability to use from this information and data; managers of different enterprises know that collecting information and data from customers and audiences of a company is one of the factors needed for the growth and development of these companies. But this is only halfway; If the data is only collected and remains unused, the primary purpose of collecting this information has yet to be fulfilled. An important step that must be taken after collecting data and information is extracting knowledge from the news and making the data more tangible. Assembled, it helps derive rules and practical results. In this article, an attempt has been made to compare two widely used algorithms in the field of data mining, Bayes and Meta, which are in Weka Explorer data mining software, and to conclude which algorithm can have better results and performance in data mining.
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