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Recent Submissions
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Performance analysis of fuzzy rough set-based and correlation-based attribute selection methods on detection of chronic kidney disease with various classifiers
(IEEE, 2019)Technological developments generally have positive effects on our daily lives especially on health domain. Diagnosing diseases through new machines or methods are easier than compared to the past. Benchmarking the effect ... -
A novel approach for stigler's diet problem in genetic algorithm
(Association for Computing Machinery, 2017)The supply chain in the military is not only vital in the perspective of rough conditions and rules, but it also is important since human life is on the front line. Thus, this research was focused on the food supply chain, ... -
Data mining through data visualization: a case study on predicting churners on telecomunications data set
(Balkan Yayın, 2018)Data mining is the process of extracting meaningful information from a large, raw data. These processes are carried out by various, detailed methods. And, the obtained results are used to make various interpretations and ... -
TSCBAS: a novel correlation based attribute selection method and application on telecommunications churn analysis
(IEEE, 2018)Attribute selection has a significant effect on the performance of the machine learning studies by selecting the attributes having significant effect on result, reducing the number of attributes, and reducing the calculation ... -
A hybrid classification example in the diagnosis of skin disease with cryotherapy and immunotherapy treatmec
(IEEE, 2018)Uncontrolled tumors in the human body are called cancer. Unbalanced diet, alcohol and cigarette use, food additives and a variety of viruses can cause people have cancer. Cancercausing tumors can be good or malignant. This ... -
Open source data mining programs: a case study on R
(Düzce University, 2018)The processes on the way from raw data to meaningful information is called data mining. The data is processed by applying various methods of data mining in order to extract hidden information among raw data. The processed ... -
Classification of a bank data set on various data mining platforms
(IEEE, 2018-04)The process of extracting meaningful rules from big and complex data is called data mining. Data mining has an increasing popularity in every field today. Data units are established in customer-oriented industries such as ...
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