شماره ركورد كنفرانس
2727
عنوان مقاله
Improved Accuracy for C4.5 Decision Tree Algorithm
عنوان به زبان ديگر
Improved Accuracy for C4.5 Decision Tree Algorithm
پديدآورندگان
Ziaadini Salimeh نويسنده Beast Institute - Computer Engineering Department - Master Student , GHazizadeh Ahsaee Mostafa نويسنده Shaheed Bahonar University - Computer Engineering Department - Assistant Professor
تعداد صفحه
4
كليدواژه
Decision tree , Data mining , accuracy , Classifiers , C4.5 algorithm
سال انتشار
1395
عنوان كنفرانس
اولين كنفرانس بين المللي دستاوردهاي نوين پژوهشي در مهندسي برق و كامپيوتر
زبان مدرك
فارسی
چكيده لاتين
Abstract— one of the approaches to classify the dataset is named as decision tree. This research deals with the problem
of finding the parameter settings of decision tree algorithm in order to reach more accuracy for a given domain. The
proposed approach Improved C4.5 algorithm (IC4.5) is a supervised learning. The results obtained from experiments
show that the IC4.5 is better than C4.5 in increasing the accuracy of decision tree.
شماره مدرك كنفرانس
4240260
سال انتشار
1395
از صفحه
1
تا صفحه
4
سال انتشار
1395
لينک به اين مدرک