Browsing by Author "Başarslan, Muhammet Sinan"
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Classification of a bank data set on various data mining platforms
Başarslan, Muhammet Sinan; Düzdar Argun, İrem (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 ... -
Data mining through data visualization: a case study on predicting churners on telecomunications data set
Başarslan, Muhammet Sinan; Kayaalp, Fatih (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 ... -
A hybrid classification example in the diagnosis of skin disease with cryotherapy and immunotherapy treatmec
Başarslan, Muhammet Sinan; Kayaalp, Fatih (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
Kayaalp, Fatih; Başarslan, Muhammet Sinan (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 ... -
Performance analysis of fuzzy rough set-based and correlation-based attribute selection methods on detection of chronic kidney disease with various classifiers
Başarslan, Muhammet Sinan; Kayaalp, Fatih (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 ... -
Sentiment Analysis on Social Media Reviews Datasets with Deep Learning Approach
Thanks to social media, people are now able to leave guiding comments quickly about their favorite restaurants, movies, etc. This has paved the way for the field of sentiment analysis, which brings together various ... -
TSCBAS: a novel correlation based attribute selection method and application on telecommunications churn analysis
Kayaalp, Fatih; Başarslan, Muhammet Sinan; Polat, Kemal (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 ...
