[PDF] Top 20 Improved C4.5 Decision Tree Classifier Algorithm for Analysis of Data Mining Application
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Improved C4.5 Decision Tree Classifier Algorithm for Analysis of Data Mining Application
... Abstract: Decision tree is an important method for both induction research and data mining, which is mainly used for model classification and ...C4.5 algorithm is the most widely used ... See full document
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Optimization of C4.5 Decision Tree Algorithm for Data Mining Application
... the tree. The operation of decision trees is based on the ...of decision trees is the fact that knowledge can be extracted and represented in the form of classification (if-then) ...in ... See full document
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Traffic Data Analysis using Decision Tree and Naïve Bayes Classifier
... Traffic prediction is an important sector in terms of data- mining application [1, 2]. A wide variety of data sets differing in volume, variety and velocity are generated. The Traffics like ... See full document
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Data mining approach for predicting the daily Internet data traffic of a smart university
... and analysis generate dataset that are indicators of usage trends, and such dataset can be used for traffic prediction via various statistical analy- ...extensive analysis was carried out on the daily ... See full document
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An Improved Data Utility Model For Privacy Preserving Data Mining Using Decision Tree Algorithm
... Data mining is a technique for analyzing data, in various applications where classification, prediction, categorization, and recognition required data mining techniques are used ... See full document
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Using T3, an improved decision tree classifier, for mining stroke related medical data
... the data set randomly into a training set of 530 records and a test set of 265 ...error) tree of size 54, with 0% clas- sification and ...a tree of size 186 with ...trivial tree of one ... See full document
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Predicting and Analysis of Student Performance Using Decision Tree Technique
... education data modelling. There is an increase in their application within the last six years ...using data mining technique like classification, decision tree algorithm ... See full document
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Application of decision tree as a data mining tool to predict BP systolic diastolic
... glucose.. Data-mining analysis was carried out using the C5 decision tree algorithm for the aforementioned three events using five different splitting ...free data ... See full document
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Building an Effective Intrusion Detection System using combined Signature and Anomaly Detection Techniques
... genetic algorithm as feature selection and C4.5 decision tree (J48) as classifier was used to generate signature based model and then frequent itemsets with association rule mining was ... 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 ... See full document
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High Speed Improved Decision Tree for Mining Streaming Data
... in data warehousing and data ...in data analysis that arises in many applications in numerous fields such as data mining[3], image processing, machine learning and ... See full document
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Classification with an improved Decision Tree Algorithm
... In data 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 ... See full document
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Data Mining Techniques for Predicting Immunize-able Diseases: Nigeria as a Case Study
... statistical analysis, and are mostly restricted to diseases affecting ...Bayesian classifier the MM was ...(3) data mining techniques: ANN, Decision Tree Algorithm and ... See full document
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A Data Mining System for Predicting University Students’ Graduation Grades Using ID3 Decision Tree Algorithm
... ID3 decision tree algorithm with data such as the grade in secondary school, entrance examination score and the grade at graduation, which were trained to generate a model for predicting ... See full document
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Data Mining for Detecting E-learning Courses Anomalies: An Application of Decision Tree Algorithm
... supervised data mining has been widely used in many domains through a set of relevant classification methods such as; Genetic algorithm, KNN algorithm, artificial neural network and (DT) ... See full document
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Improvement and Application of Decision Tree C4 5 Algorithm
... C4.5 algorithm, and integrates the algorithm into the WEKA data mining platform, selects the pre-processed data in the engineering quality supervision system for testing, Using 10 ... See full document
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EDM: An analysis of learner’s academics performance based on Frequent Pattern Tree Algorithm
... of algorithm and statistical analysis used in this ...for mining algorithm specifically on educational ...many decision tree algorithms like ID3, J48, ...pattern mining ... See full document
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CHURN PREDICTION IN MOBILE TELECOM SYSTEM USING DATA MINING TECHNIQUES
... Data Acquisition is a difficult problem for the researchers to acquire the actual dataset from the telecom ...2006 data mining competition ... See full document
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Object Oriented Intelligent Multi-Agent System Data Cleaning Architecture To Clean Email Data
... the decision tree to identify the method/ procedure to be used in the cleaning ...a Decision Tree using ID3 algorithm. First, the algorithm fixes highest information gain ... 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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