Browsing by Author "Kayaalp, Fatih"
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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 ... -
Performance Analysis Of Fuzzy Rough Set-Based And Correlation-Based Attribute Selection Methods On Detection Of Chronic Kidney Disease With Various Classifiers
Basarslan, 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 ... -
Sentiment Analysis with Machine Learning Methods on Social Media
Basarslan, Muhammet Sinan; Kayaalp, Fatih (Ediciones Univ Salamanca, 2020)Social media has become an important part of our everyday life due to the widespread use of the Internet. Of the social media services, Twitter is among the most used ones around the world. People share their opinions by ... -
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 ...
