Results for the J4.8 decision tree induction algorithm
Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm
... Abstract Decision-tree induction is a well-known tech- nique for assigning objects to categories in a white-box fash- ...Most decision-tree induction algorithms rely on a sub- ...
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Evolutionary Algorithms in Decision Tree Induction
... life decision- making situations force people to choose over a set of possible alternatives with the aim of maximizing some utility ...the decision-making process has to face with the evaluation of a ...
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Hyper-heuristic decision tree induction
... a decision tree. Another possible cause for the poor results we obtained could be the length of the chromosone representing the hyper- heuristic in the genetic ...genetic algorithm to converge ...
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Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm
... a decision tree combines a method for selecting tests with a method for classifying ...test results and classify the ...the results of the tests from the laboratory and then decides on the ...
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On the automatic design of decision-tree induction algorithms
... optimising decision-tree algorithms have been made by re- searchers within the last decades, even though the most successful algorithms date back to the mid-80’s and early ...accurate decision trees, ...
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Geometric Approach for Induction of Oblique Decision Tree
... proposed algorithm is better than all the other decision tree algorithms, proposed algorithm is significantly better than all the other decision tree ...proposed algorithm ...
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Classification with an improved Decision Tree Algorithm
... REP, Decision Tree Algorithm, C5 classifier, ...mining, Decision tree structures are a common way to organize classification ...a decision tree is performed by routing ...
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A Survey on Decision Tree Algorithm for Classification
... Keywords- Decision tree algorithms, ID3, C4.5, C5.0, classification techniques I. I NTRODUCTION Now-a-days the data stored in a database and which is used for application is huge. This explosive growth in ...
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A Streaming Parallel Decision Tree Algorithm
... SPDT algorithm in that they use histograms to process the data in constant time and ...SPDT algorithm and its anal- ...same tree as the standard ...entire tree to be different from the one ...
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A survey of cost sensitive decision tree induction algorithms
... top-down tree induction algorithms can be adapted so that the total test cost for any example will be no more than a pre-specified ...the tree induction process by only considering those ...
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Handling Missing Value in Decision Tree Algorithm
... Both C4.5 and C5.0 can produce classifiers expressed either as decision trees or rule sets. In many applications, rule sets are preferred because they are simpler and easier to understand than decision ...
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Research on the Cost-sensitive Decision Tree Algorithm
... cost-sensitive decision tree can be divided into two ...single decision-tree model to solve the problem of cost-sensitive classification, such as EG2, PM, MinCost, ...multiple decision ...
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DECISION TREE ALGORITHM AND MAPREDUCE TECHNOLOGY: A REVIEW
... are decision tree based are considered the best classifiers among all the other ...algorithms. Decision tree algorithms are simple and fast to ...discusses decision tree based ...
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Improved Decision Tree Induction Algorithm with Feature Selection, Cross Validation, Model Complexity and Reduced Error Pruning
... REP, Decision Tree induction, C5 classifier, KNN, SVM I I NTRODUCTION This paper describes first the comparison of best-known supervised techniques in relative ...like Decision Tree ...
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Decision Tree Induction in High Dimensional, Hierarchically Distributed Databases
... The DHDT algorithm is designed to run on datasets with a large number of attributes, such as the genomi- cally enriched EMR. However, such data is not yet avail- able for large-scale data mining. Therefore, we ...
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Generalization and Decision Tree Induction: Efficient Classification in Data Mining
... Each algorithm first generalizes the data to an intermediate ab- straction level by attribute-oriented ...C4.5 algorithm [26] to extract classification rules from the generalized relation by inducing a ...
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Improvement and Application of Decision Tree C4 5 Algorithm
... C4.5 algorithm in 1.3, an improved C4.5 algorithm with variable parameters is proposed to make full use of the data set and incorporate the former pruning ...improved algorithm is: When a certain ...
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Elliptical cost sensitive decision tree algorithm ECSDT
... for decision-makers who are struggling when they have to make the right decisions to ensure the best results whilst simultaneously achieving low costs associated with those ...assist decision-makers, ...
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Curvelet Image Fusion Using Decision Tree Algorithm
... approach, algorithm can be modified to improve the quality of the ...simulation results show the superiority of the Curvelet transform to the wavelet transform in the fusion of digital image and MR and CT ...
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Use of ID3 Decision Tree Algorithm for Placement Prediction
... Mumbai, India m Abstract— Every year corporate companies come to colleges in order to recruit students. Recruitment is one of the most essential processes for any organization as they look for skilled and qualified ...
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