نتایج جستجو برای: classification tree models j48
تعداد نتایج: 1478980 فیلتر نتایج به سال:
Spam emails is probable the main problem faced by most e-mail users. There are many features in spam email detection and some of these features have little effect on detection and cause skew detection and classification of spam email. Thus, Feature Selection (FS) is one of the key topics in spam email detection systems. With choosing the important and effective features in classification, its p...
Growth of an educational institute can be measured in terms of successful students of the institute. The analysis related to the prediction of students academic performance in higher education seems an essential requirement for the improvement in quality education. Data mining techniques play an important role in data analysis. For the construction of a classification model which could predict ...
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...
This paper introduces the speech emotion corpus, a multilingual speech emotion database recorded in the provincial languages of Pakistan: Urdu, Punjabi, Pashto and Sindhi for analyzing the speech emotions present in the recorded speech signals with the four different emotions (Anger, Sadness, Comfort and Happiness). The objective of this paper is to evaluate the performance of the learning clas...
Biomarker discovery using mass spectrometry (MS) data is very useful in disease detection and drug discovery. The process of biomarker discovery in MS data must start with feature selection as the number of features in MS data is extremely large (e.g. thousands) while the number of samples is comparatively small. In this study, we propose the use of genetic programming (GP) for automatic featur...
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...
The rate of injury and death from traffic accidents during the New Year Songkran Festival each year has high are continuously on increase. researchers, therefore, decided to study develop a model for predicting road accident risk holiday season with ensemble learning based decision tree approach. aim is help reduce loss life caused by accidents. dataset used in this research resulting data long...
Dengue is a eviscerate disease common in tropical countries. It is also known as break-bone fever. Dataset for dengue gives information about the patient suffering with the dengue disease. The Dataset consist of attribute like fever, bleeding, metallic taste, Fatigue. The main objective of this study is to calculate the performance of various classification Techniques and compare their performa...
Background and Objective: Unwanted pregnancy is a pregnancy that is considered to be unwanted by at least one member of the couple, and has adverse consequences for the family and community. Using four classification models, this study predicted unwanted pregnancy in the urban population of Khorramabad and compared these classification models. Materials and methods: In this cross-sectional s...
Rockburst is a complex phenomenon of dynamic instability in the underground excavation rock. Owing to and unclear rockburst mechanism, it difficult accurately predict reasonably assess potential. With increasing availability case histories from rock engineering advancement data science, mining algorithms provide good way phenomena, like This paper investigates potential J48 random tree classifi...
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