[PDF] Top 20 Improvement and Application of Decision Tree C4 5 Algorithm
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Improvement and Application of Decision Tree C4 5 Algorithm
... C4.5 algorithm uses post-pruning to solve ...complete decision tree needs to be constructed, which results in the problem that the complexity of the decision tree model is too ...growth ... See full document
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Improved C4.5 Decision Tree Classifier Algorithm for Analysis of Data Mining Application
... ID3 decision tree algorithm base on the information gain, and later, an improved ...the decision tree ...these decision tree algorithms need multiple scanning and sorting ... See full document
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Optimization of C4.5 Decision Tree Algorithm for Data Mining Application
... several decision tree classification algorithms currently in use, including the ID3 [4] and ...[2] algorithm as well as some of the improved algorithms [3] [5] [6] thereafter ...the ... See full document
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Application of decision tree as a data mining tool to predict BP systolic diastolic
... C5 decision tree algorithm for the aforementioned three events using five different splitting ...the improvement is dramatic in accuracy, speed and ... See full document
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Hybrid Decision Tree and Naïve Bayes Classifier for Predicting Study Period and Predicate of Student’s Graduation
... hybrid decision tree and naïve bayes classifier to predict the study period and predicate of ...of decision tree C4.5 algorithm and naive bayes classifier with data partition 70%, 80% ... See full document
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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 ... See full document
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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 ... See full document
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ISSN: 2321-8363 UGC Approved Journal Impact Factor: 5.515
... C4.5 algorithm is applied and then transformed data generates the rules using ...C4.5 decision tree ...Apriori algorithm based technique is used for comparative ... See full document
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Application of Decision Tree Algorithm for Data Mining in Healthcare Operations: A Case Study
... A research done with combined ANN and DTs model for prognosis of breast cancer relapse in 2002. This presents a decision-support tool for the prognosis of breast cancer relapse using clinical–pathological data. ... See full document
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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 ... See full document
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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 ... See full document
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DECISION TREE ALGORITHM AND MAPREDUCE TECHNOLOGY: A REVIEW
... Decision tree algorithm being the finest classifier is used in a variety of classification ...C4.5 algorithm and our analysis have proved that accuracy of C4.5 algorithm is greater than ... See full document
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Rule based Classification for Diabetic Patients using Cascaded K Means and Decision Tree C4 5
... classification algorithm depends on the quality of ...to Decision tree after conversion of continuous data to categorical ...by Decision tree with unprocessed ...and Decision ... See full document
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A Novel Approach to Construct Decision Tree Using Quick C4.5 Algorithm
... At each node of the tree, C4.5 chooses one attribute of the data that most effectively splits its set of samples into subsets enriched in one class or the other. Its cr iter ion is the nor malized information gain ... See full document
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Checking Language Dependent Accuracy of Web Applications using Data Mining Techniques
... CART algorithm was introduced by Leo Brieman et ...which decision trees are constructed in divide and conquer, top-down, ...“honest” tree is identified. It removes unreliable branches from ... See full document
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Data Mining for Detecting E-learning Courses Anomalies: An Application of Decision Tree Algorithm
... The E-learning is a smart mean to carry out remote education. It allows learners to learn from anywhere at any time, by providing immediate access to a variety of educational contents. However, they have different ... See full document
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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 ... See full document
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Automatic Corpus Based Thai Word Extraction with the C4 5 Learning Algorithm
... learning algorithm for the task of Thai word ...good decision tree for word/non-word ...this algorithm with larger corpora to build a corpus-based Thai ... See full document
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Classifying High-Speed Data Streams Using Statistical Decision Trees
... incremental decision tree algorithm called StARMiner Tree (ST), which is based on Very Fast Decision Tree (VFDT) system, deals with numerical data and uses a method based on ... See full document
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Online Full Text
... Abstract—Data mining methods have been widely used for extracting precious knowledge from large amounts of data. Classification algorithms are the most popular models. The model is selected with respect to its ... See full document
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