C4.5 ALGORITHM OF DECISION TREE
A Novel Approach to Construct Decision Tree Using Quick C4.5 Algorithm
... inducing decision trees. C4.5 is one of the most important algorithms in Decision Tree ...C4.5 algorithm are discussed and an enhancement technique for improving its efficiency is ...
6
Improvement and Application of Decision Tree C4 5 Algorithm
... C4.5 algorithm as the most popular decision tree algorithm, there are still some deficiencies, ...C4.5 algorithm uses post-pruning to solve the over-fitting problem, but increase the ...
7
Efficient Processing of Decision Tree Using ID3 & improved C4.5 Algorithm
... a decision tree (DT) from this kind of ...classification algorithm for learning DT classifiers from data with structured continuous ...C4.5 algorithm using eight real data ...C4.5 ...
6
A Study on C.5 Decision Tree Classification Algorithm for Risk Predictions During Pregnancy
... C4.5 Algorithm is one of the most efficient, powerful and popular algorithm of Decision Tree Induction method used for the task of classification of medical data, hence this algorithm ...
8
Classification Through Machine Learning Technique: C4 5 Algorithm based on Various Entropies
... The Decision tree is one of the classification techniques which is done by the splitting ...The decision tree is a flow chart like a tree structure that classifies instances by sorting ...
8
Decision Tree Algorithm Based University Graduate Employment Trend Prediction
... C4.5 algorithm was used to predict the employment trend of ...the decision tree was constructed, and the classification rules were ...C4.5 algorithm, which provides a theoretical guidance for ...
8
Optimization of C4.5 Decision Tree Algorithm for Data Mining Application
... C4.5 algorithm which is improved by the use of L’Hospital Rule ,which simplifies the calculation process and improves the efficiency of decision making algorithm ...
5
Improved Accuracy for Decision Tree Algorithm Based on Unsupervised Discretization
... C4.5 decision trees that would result in optimal performance on a particular data ...the tree, ...optimized algorithm of decision trees. On the basis of ID3, this algorithm considered ...
8
An Algorithm to Construct Decision Tree for Machine Learning based on Similarity Factor
... an algorithm used to generate a decision tree developed by Ross ...ID3 algorithm. The decision trees generate by ...C4.5 algorithm uses information gain as splitting ...
5
Phishing Website Detection Using C4 5 Decision Tree
... C4.5 algorithm on PWD, the obtained confusion matrix is shown in Table 1, the decision tree has 169 leaves, the size of the tree is 297 (in other words, the tree has 297 ...the ...
6
A Survey on Decision Tree Algorithm for Classification
... C5.0/Sec 5: C5.0 algorithm is an extension of C4.5 algorithm which is also extension of ...classification algorithm which applies in big data ...
5
Automatic Corpus Based Thai Word Extraction with the C4 5 Learning Algorithm
... induction algorithm proceeds by evaluating content of a series of attributes and iteratively building a tree from the attribute values with the leaves of the decision tree being the value of ...
6
CLASSIFICATION OF DEFECTS IN SOFTWARE USING DECISION TREE ALGORITHM
... Defect prevention is the most vivid but usually neglected aspect of software quality assurance in any project. If functional at all stages of software development, it can condense the time, overheads and wherewithal ...
9
Rule based Classification for Diabetic Patients using Cascaded K Means and Decision Tree C4 5
... Reasoning, Decision tree, Back propagation neural network, Radial basis neural network, Bayesian classification, Rough set Approach, Fuzzy Set Approaches, and K-nearest Neighbor ...and Decision ...
6
Oblique Decision Tree Algorithm with Minority Condensation for Class Imbalanced Problem
... oblique decision tree is enhanced to work with an imbalanced dataset that is called oblique minority condensed decision tree ...the decision tree algorithm using the ...
17
Analytical Research on Decision Tree Algorithm and Naive Bayesian Classification Algorithm for Data Mining
... During the late 1970s and early 1980s, J. Ross Quinlan, a researcher in machine learning, developed a decision tree algorithm known as ID3 (Iterative Dichotomiser). This work expanded on earlier work ...
12
Classification with an improved Decision Tree Algorithm
... mining, Decision tree structures are a common way to organize classification ...a decision tree is performed by routing from the root node until arriving at a leaf node ...as decision ...
6
Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm
... robust tree inducer, ...clustering algorithm, EM; (ii) Clus-DTI does not have a combining scheme for labeling test examples, which means our approach keeps its comprehensibility since we can directly track ...
12
A Decision Tree Algorithm Pertaining to the Student Performance Analysis and Prediction
... CART decision tree algorithms to predict the performance of the first year engineering students ...Learner, Decision Tree, Neural Network and K-Nearest Neighbour, on data set of 10330 ...
5
Handling Missing Value in Decision Tree Algorithm
... In this research work, data mining techniques is used to make smart decisions for the student, additionally this technique is used to analysis the performance of the students in educational domain, to make analysis and ...
6