نتایج جستجو برای: classification trees j48
تعداد نتایج: 573912 فیلتر نتایج به سال:
Software risk prediction is the most sensitive and crucial activity of Development Life Cycle (SDLC). It may lead to success or failure a project. The should be predicted earlier make software project successful. A model proposed for requirement risks using dataset machine learning techniques. In addition, comparison made between multiple classifiers that are K-Nearest Neighbour (KNN), Average ...
This Research paper focused on Classification accuracy based on Users’ Preferences from the Web Learning System. This comparative study considers various classification algorithms like j48, Random Tree, Random Forest, CART and Naive Bayes in the Web Learning System. It also focuses on Artificial Neural Network (ANN) algorithms. The classification accuracy is identified by user’s requirements ba...
decision trees as one of the data mining techniques, is used in credit scoring of bank customers. the main problem is the construction of decision trees in that they can classify customers optimally. this paper proposes an appropriate model based on genetic algorithm for credit scoring of banks customers in order to offer credit facilities to each class. genetic algorithm can help in credit sco...
This short paper estimates the state and local fiscal benefits of the Nurse Family Partnership (NFP) program. NFP provides nurse home visiting services to low-income first-time mothers. In addition to social benefits, NFP provides state and local fiscal benefits by reducing costs of social services, welfare, and crime, and increasing tax receipts due to increased earnings of mothers and former ...
In this paper, an experimental study was conducted on three techniques for Arabic text classification. These techniques are Support Vector Machine (SVM) with Sequential Minimal Optimization (SMO), Naïve Bayesian (NB), and J48. The paper assesses the accuracy for each classifier and determines which classifier is more accurate for Arabic text classification based on stop words elimination. The a...
This Research paper focused on Classification accuracy based on Users' Preferences from the Web Learning System. This comparative study considers various classification algorithms like j48, Random Tree, Random Forest, CART and Naive Bayes in the Web Learning System. It also focuses on Artificial Neural Network (ANN) algorithms. The classification accuracy is identified by user's requi...
In this research, the capability of Rapid Eye satellite imagery for mapping the crown distribution of oak trees in Zagros forests was investigated in the Dashtebarm forest area of Kazeroun, Fars province. In this study, data quality was investigated geometrically and radiometrically and geometric correction of the images was done using a linear method and using precision ground control ...
Meta decision trees (MDTs) are a method for combining multiple classifiers. We present an integration of the algorithm MLC4.5 for learning MDTs into the Weka data mining suite. We compare classifier ensembles combined with MDTs to bagged and boosted decision trees, and to classifier ensembles combined with other methods: voting and stacking with three different meta-level classifiers (ordinary ...
Corresponding Author: Tb Ai Munandar Department of Informatics Engineering, Faculty of Information Technology, Universitas Serang Raya, Banten, Indonesia Email: [email protected], [email protected] Abstract: Nowadays, agricultural field is experiencing problems related to climate change that result in the changing patterns in cropping season, especially for paddy and coarse grains, pulses...
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