C4.5 decision tree.
Phishing Website Detection Using C4 5 Decision Tree
... Abstract. Among various anti-phishing solutions, Machine Learning techniques are considered to be promising. The purpose of this study was to evaluate the effect of C4.5 decision tree algorithm on phishing ...
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Comparing C4 5 and MST Classifier Using MapReduce
... C4.5 decision tree whose reach was ...the decision tree improves the accuracy of the decision tree but increases the over fitting and the time taken to build the decision ...
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Converting Declarative Rules into Decision Trees
... rule-based decision tree method for learning a single decision tree that approximates the classification decision of a majority voting ...based decision tree) and then a ...
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Generating Optimized Decision Tree Based on Discrete Wavelet Transform Kiran Kumar Reddi* 1Ali Mirza Mahmood2 K.Mrithyumjaya Rao 3
... The most commonly used decision tree algorithms are ID3 [2] and C4.5 [Quinlan J R.(1993) ]. In ID3 the heuristic function used for splitting the data is Information Gain, which is the quality of ...
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Improvement and Application of Decision Tree C4 5 Algorithm
... complete decision tree needs to be constructed, which results in the problem that the complexity of the decision tree model is too ...growth decision book will consume a lot of time, ...
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Analysis Comparison of The Classification Data Mining Method to Predictthe Decisions of Potential Customer Insurance
... a decision tree which is a very strong and thick classification and prediction ...The decision tree method transforms a very large fact into a decision tree that represents the ...
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Uncertain Data Mining using Decision Tree and Bagging Technique
... modeling. Decision tree can handle both categorical and numerical ...A decision tree is built by using a subset from instances of dataset and remaining subset test the accuracy of constructed ...
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Decision Tree Algorithms for Diagnosis of Cardiac Disease Treatment
... database. Decision tree learning algorithm has been successfully used in expert systems in finding the ...building decision tree, such as ID3, ...for decision making tree ...
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Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm
... Whereas Clus-DTI shares a fair amount of similarities to the work of Gaddam et al. [35], we highlight the main differ- ences as follows: (i) Clus-DTI makes use of a more robust tree inducer, C4.5, and also allows ...
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A Novel Approach to Construct Decision Tree Using Quick C4.5 Algorithm
... a decision tree has been ...C4.5 tree induction method; section 3 proposes a method that uses quick sort method in ...a decision tree more efficiently; Section 5 draws the ...
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Rule based Classification for Diabetic Patients using Cascaded K Means and Decision Tree C4 5
... to Decision tree after conversion of continuous data to categorical ...by Decision tree with unprocessed ...and Decision tree classifier is one of the best results compared with ...
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Application of soil properties, auxiliary parameters, and their combination for prediction of soil classes using decision tree model
... the decision tree model had a good performance in predicting soil classes at different levels of the ST system in the Shahrekord ...the decision tree model well illustrated the effects of ...
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Effects of regular traınıng and mını tennıs actıvıtıes on physıcal and physıologıcal profıles of boys
... Average of subjects – The differences and significance levels between pre-test results and the standard deviation n=14 Variables V-Sit and reach test cm Right Hand Grip Strength kg Left [r] ...
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An Insight into “Decision Tree Analysis”
... Apart from its simple to understand nature, decision tree analysis can help any individual in achieving his goals by aiding him in each aspect of personal and professional life. It certainly help by ...
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II. DECISION TREE CLASSIFICATION
... the decision tree construction algorithm receives the training data set as an input and constructs the decision tree as an output without any interaction with the ...a decision ...
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ID3 Modification and Implementation in Data Mining
... The technique to extract new knowledge form the existing information is known as data mining. There are different techniques to mine the data from databases. One important technique is classification and segmentation, ...
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Study of Factors Analysis Affecting Academic Achievement of Undergraduate Students in International Program
... ABSTRACT--The aim of this study is to analyze factors affecting academic achievement that contribute to the prediction of students’ academic performance. It is useful in identifying weak students who are likely to ...
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Polymorphism of the human complement C4 and steroid 21 hydroxylase genes Restriction fragment length polymorphisms revealing structural deletions, homoduplications, and size variants
... of C4 protein and linkage with disease ...the C4 genes typed as C4 null are deleted and several unrecognized homoduplicated C4 alleles were ...different C4 structural variants must be ...
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The characters recognition method of license plate based on LSSVM
... LSSVM decision tree ...LSSVM decision tree model is shown in ...LSSVM decision tree is to guide the division of the leaf node to construct by a priori knowledge about the license ...
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The Adaptability of Decision Tree Method in Mining Industry Safety Data
... Data mining is a process of extracting hidden relationships and patterns in data and delivering results that can either be utilized in an automated decision support system or easily accessed by a human analyst ...
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