Applying rule-based classification techniques to medical databases: an empirical study
نویسندگان
چکیده
منابع مشابه
Applying Data Mining Techniques to Medical Databases
The data mining techniques such as Neural Network, Naïve Bayes, and Association rules are at present not well explored on medical databases. In this paper, we present and analyze our experimental results on thrombosis medical database by employing data mining tool of XLMiner and using different data mining techniques such as Naive Bayes and Neural Network for classification, Association rules, ...
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One of the major challenges in the medical domain today is how to exploit the huge amount of data that this field generates. To do this, approaches are required that are capable of discovering knowledge that is useful for decision making in the medical field. Time series are data types that are common in the medical domain and require specialized analysis techniques and tools, especially if the...
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The application of data mining algorithms requires the use of powerful software tools. As the number of available tools continues to grow, the choice of the most suitable tool becomes increasingly difficult. This paper present the basic data mining techniques i. e. , naive Bayesian tree, RIpple DOwn Rule, naive Bayes and decision tree algorithm J48 for classifying in medical databases. The goal...
متن کاملAn Empirical Comparison of Data Mining Techniques in Medical Databases
The application of data mining algorithms requires the use of powerful software tools. As the number of available tools continues to grow, the choice of the most suitable tool becomes increasingly difficult. This paper present the basic data mining techniques i. e. , naive Bayesian tree, RIpple DOwn Rule, naive Bayes and decision tree algorithm J48 for classifying in medical databases. The goal...
متن کاملAn Empirical Comparison of Data Mining Techniques in Medical Databases
The application of data mining algorithms requires the use of powerful software tools. As the number of available tools continues to grow, the choice of the most suitable tool becomes increasingly difficult. This paper present the basic data mining techniques i.e., naive Bayesian tree, RIpple DOwn Rule, naive Bayes and decision tree algorithm J48 for classifying in medical databases. The goal o...
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ژورنال
عنوان ژورنال: International Journal of Business Intelligence and Systems Engineering
سال: 2016
ISSN: 2051-5847,2051-5855
DOI: 10.1504/ijbise.2016.081590