نتایج جستجو برای: decision tree
تعداد نتایج: 495245 فیلتر نتایج به سال:
Background & Objective: Prediction of health status in newborns and also identification of its affecting factors is of the utmost importance. There are different ways of prediction. In this study, effective models and patterns have been studied using decision tree algorithm. Method: This study was conducted on 1,668 childbirths in three hospitals of Shohada, Omidi and Mehr in city of Behshahr...
Label Semantics is a random set based framework for modeling imprecise concepts where the degree of appropriateness of a linguistic expression as a description of a certain value is measured in terms of how the set of appropriate labels for that value varies across a population. An approach to decision tree induction based on this framework was studied. A new decision tree learning algorithm wa...
We describe the two most commonly used systems for induction of decision trees for classiication: C4.5 and CART. We highlight the methods and diier-ent decisions made in each system with respect to splitting criteria, pruning, noise handling, and other diierentiating features. We describe how rules can be derived from decision trees and point to some diierence in the induction of regression tre...
Decision tree classification technique is one of the most popular techniques in the emerging field of data mining. There are various methods for constructing decision tree. Induced Decision tree (ID3) is the basic algorithm for constructing decision trees. After ID3 various algorithms were proposed by different researchers and authors those are extensions of ID3 algorithm. This paper contains a...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید