SEARCH RESULT

Data mining and machine learning algorithms are utilized in order to discover meaningful information by thorough analysis of dataset. They are used in multi-disciplinary field. Wart is caused by the human papillomavirus. It inhibits body growth by activating ecdysone steroid production systematically. There are several treatment methods for this illness. These methods focused on offering a solution for people. In this framework, a study on the analysis of the best two wart treatment methods, Cryotherapy and Immunotherapy, is carried out. The first one of these datasets collected by applying the cryotherapy method consists of seven features. The second dataset collected by applying the immunotherapy method consists of eight features. Fuzzy Rule, Naive Bayes and Random Forest based models are designed in order to evaluate the effectiveness of these methods in wart treatment. The performances of these algorithms are judged within the frame of Accuracy and Sensitivity performance measures.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Kemal Akyol Abdulkadir Karaci Yasemin Gültepe

The main purpose of the semantic web is to develop standards and technologies that will enable well-defined and linked information and services to be easily computer-readable and computer-understandable in the web environment. Linked data is one of the approaches used to acquire meaningful integrity by gathering data-related data collections by creating semantic links between the web pages that make up the content of the semantic web. Linked data is based on RDF (Resource Description Framework) technology. RDF is a data model that provides space-independent formal semantics with respect to chart resources. In a linked data application, the most important decision point is how to access the linked data. Linked data crawler is a program that explores linked data in web by tracking RDF links. In this work, DBLP (Database Systems and Logic Programming) data set is used as a source of Linked Data. DBLP gradually expanded toward all fields of computer science. An example will be presented related to pageRank sorting of RDF resources in the DBLP dataset. As a result; the search area has shrunk and search results have improved.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Yasemin Gültepe Kemal Akyol Abdulkadir Karaci

Sign language recognition is used to help communicate effectively between normal hearing peoples and hearing-impaired. According to literature review, Turkish sign language recognition studies are very few. For this reason, this study has been performed on Turkish sign language recognition. Depth cameras, such as the Leap Motion controller, allows the researchers to exploit depth knowledge to better understand hand movements. In this study, data of 10 letters in Turkish sign language was taken from Leap Motion. Five of these data are composed of letters (I, C, L, V, O) that It can be expressed with one hand, while the other five are composed of letters (B, D, M, N, K) that It can be expressed with two hands. The dataset was taken by two different people. Each person made five trials for each letter. Ten samples were taken at each trial. In this study, Artificial Neural Network, Deep Learning and Decision Tree based models were designed and the effectiveness of these models in recognizing the Turkish sign language is evaluated. Regression (R), Mean Square Error (MSE) and Estimation Accuracy performance metrics are used to evaluate models' performance. The data set was randomly divided into 30% for training and 70% for testing. According to the experimental results, the most successful models for the data set with 120 features are decision tree and DNN models. For the data set with 390 features, DNN is the most successful model.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Abdulkadir Karaci Kemal Akyol Yasemin Gültepe