نتایج جستجو برای: c45 decision tree
تعداد نتایج: 495511 فیلتر نتایج به سال:
Background ; Objectives: Identifying the important influential factors is a great challenge in oncology studies. Decision tree is one of methods that could be used to evaluate the prognostic factors and classifying the patients' homogeneously. This method identifies the main prognostic factors and then determines the subgroups of patients based on those prognostic factors. The aim of this...
The Informatics Engineering Study Program, Faculty of Engineering, Suryakancana University in carrying out its operations stores data a database consisting student data, lecturer employee grade achievement and on the number graduations each year, as well various other related to all University. One uses databases is support decision-making activities, so mining technique needed analyze order pr...
Purpose: Human biology is an essential field in scientific research as it helps understanding the human body for adequate care. Technology has improved way scientists do their biological research. One of critical technologies artificial intelligence (AI), which revolutionizing world. Scientists have applied AI studies, using several methods to gain different types data. Machine learning a branc...
In this paper, first, an initial feature vector for vocal fold pathology diagnosis is proposed. Then, for optimizing the initial feature vector, a genetic algorithm is proposed. Some experiments are carried out for evaluating and comparing the classification accuracies which are obtained by the use of the different classifiers (ensemble of decision tree, discriminant analysis and K-nearest neig...
This paper proposed a method using principle component analysis based on graph entropy (PCA-GE) and J48 decision tree on electroencephalogram (EEG) signals to predict whether a person is alcoholic or not. Analysis is performed in two stages: feature extraction and classification. The principle component analysis (PCA) chooses the optimal subset of channels based on graph entropy technique and t...
Background: Data mining is known as a process of discovering and analysing large amounts of data in order to find meaningful rules and trends. In healthcare, data mining offers numerous opportunities to study the unknown patterns in a data set. These patterns can be used to diagnosis, prognosis and treatment of patients by physicians. The main objective of this study was to predict the level of...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید