decision-tree algorithm
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
Enhanced Decision Tree Algorithm for Discovering Intra and Inter Class Exceptions
... Abstract: Decision tree algorithms, being accurate and comprehensible classifiers, have been one of the most widely used classifiers in data mining and machine ...algorithms, decision tree ...
10
A Decision Tree Algorithm Pertaining to the Student Performance Analysis and Prediction
... a decision tree algorithm associated with the data mining techniques have been used in the ...the decision tree for classifying students according to their attributes ...different ...
5
Research on the Cost-sensitive Decision Tree Algorithm
... cost-sensitive decision tree algorithm, this thesis puts forward the relevant improving methods: (1) In the stage of establishing decision tree model under the condition of binary class ...
17
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
Curvelet Image Fusion Using Decision Tree Algorithm
... ABSTRACT: This paper presents a novel image fusion method, suitable for pan-sharpening of multispectral (MS) bands, based on multi-resolution analysis. The low-resolution MS bands are sharpened by injecting high-pass ...
9
Steel Buildings Damage Classification by damage spectrum and Decision Tree Algorithm
... programming [17]. Furthermore, damage values were calculated using the decision trees developed in this article. Temban record with the magnitude (M) of 6.2 and distance (R) of 10.8 km from the site were used to ...
19
The Quadratic Entropy Approach to Implement the Id3 Decision Tree Algorithm
... the decision tree algorithm of ID3 is the splitting ...a tree from a dataset is one that has shown from literature to have a significant impact on the eventual outcome of the tree ...
7
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
Use of ID3 Decision Tree Algorithm for Placement Prediction
... The decision tree algorithm is based on Entropy, its main idea is to map all examples to different categories based upon different values of the condition attribute set; its core is to determine the ...
5
Oblique Decision Tree Algorithm with Minority Condensation for Class Imbalanced Problem
... hill-climbing algorithm for finding the best oblique ...nealing Decision Tree (SADT) is proposed by Heath et ...annealing algorithm to search for the best oblique hy- ...oblique decision ...
17
Application of Decision Tree Algorithm for Data Mining in Healthcare Operations: A Case Study
... By means of data mining techniques, we can exploit furtive and precious information through medicine data bases. Because of huge amount of this information, study and analyses are too difficult. We want some methods to ...
6
DECISION TREE ALGORITHM AND MAPREDUCE TECHNOLOGY: A REVIEW
... as decision tree, k-nearest neighbor, Bayesian and neural-net based ...the decision tree classification. Decision tree algorithm has high efficiency and accuracy as ...
5
A Decision Tree Algorithm Based System for Predicting Crime in the University
... ID3 decision tree model was used for training our model for this ...This tree speaks to a number of choices that exist between their alternatives utilizing every branch node and the decision ...
9
Curvelet Image Fusion using Decision Tree Algorithm a Review
... ABSTRACT: This paper presents image fusion method which is suitable for pan-sharpening of multispectral (MS) bands and based on multiresolution analysis. This paper introduces new method based on the Curvelet transform ...
6
Handling Missing Value in Decision Tree Algorithm
... a decision tree algorithm introduced in 1986 by Quinlan ...Hunts algorithm. The tree can be built in two ...are tree building and pruning. Basic idea of ID3 Algorithm is ...
6
CSNL: A cost sensitive non linear decision tree algorithm
... on decision tree learning is one of the major success stories of AI, with many commercial products, such as case based reasoning systems [Althoff et ...utilizing decision tree learning ...
26
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
A Streaming Parallel Decision Tree Algorithm
... probabilistic algorithm of Manku et ...this algorithm increases with δ but not with the data ...our algorithm belongs, consists of heuristics that work well empirically and demand low amounts of ...
24
An Efficient Identification of Malnutrition with Unsupervised Classification Using Logical Decision Tree Algorithm
... 2.3 Rule Based Classification to Detect Malnutrition in Children [4]: The data mining is an area which used in vast field of areas. Rule based classification is one of the sub areas in data mining. From this paper it ...
5