[PDF] Top 20 Health Application for Women using Decision Tree Based Classifier
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Health Application for Women using Decision Tree Based Classifier
... eHealth application for women using decision tree ...eHealth application system using open-access datasets from UCI Machine Learning ...These decision models are ... See full document
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The Selective Decision Tree Classifier: A Novel Classifier based on Feature Selection
... set using the gang_involvement classification feature, an SDTC and an SBC perform ...when using the classification feature gang_involvement ...SDTC using a Gini splitting criterion, but it performed ... See full document
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Text Classifier Based on an Improved SVM Decision Tree
... classification using Support Vector Machines have been proposed and widely used, for example 1vs1, 1vsRest, ...the classifier architecture SVM-DT (Support Vector Machines utilizing Binary Decision ... See full document
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Decision tree–based classifier in providing telehealth service
... the decision tree–building algorithm does not handle numeric attributes ...the decision tree, numeric attributes may be used more than once with different ...the health- care data ... See full document
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Comparative Analysis Between Bayesian Classifier and Decision Tree Classifier
... build decision tree classifiers, Bayesian classifiers, Bayesian belief networks, and rule based ...Classification based on association rule mining is ...their application to ... See full document
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Lung Nodule Classification Using Multilevel Patch Based Context Analysis and Decision Tree Classifier
... Gradient distribution provides helpful supplementary information to texture for discriminating various anatomical structures in nodule images. Among various gradient-based methods, HOG(Histogram of oriented ... See full document
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Decision Tree based Premature Ventricular Contractions Beat Classifier of ECG
... KEYWORDS: Premature ventricular contractions (PVCs), Electrocardiogram (ECG). 1. INTRODUCTION Cardiovascular Diseases are one of the leading killer all over the world. According to world health organization 17.5 ... See full document
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Simple And Ensemble Decision Tree Classifier Based Detection Of Breast Cancer
... Simple Decision Trees The decision trees are built using various classifiers and 10 fold cross validation is ...simple decision trees are built using the Weka ...table3 using ... See full document
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Efficient Recommendation System Using Decision Tree Classifier and Collaborative Filtering
... System, Decision Tree Classifier, ...and using that it can predict whether a user would like a given resource or ...commercial application of the recommendation system can be found ... See full document
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Fuzzy classifier identification using decision tree and multiobjective evolutionary algorithms
... Recently the goal in FC identification has been in obtaining accurate and interpretable FCs. Naturally accuracy and interpretability are conflicting objectives. For example, an FC with a vast rule-base may be accu- rate ... See full document
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Improved C4.5 Decision Tree Classifier Algorithm for Analysis of Data Mining Application
... of using information technology to collect and produce data is substantially ...the decision tree has become an important data mining ...of decision tree is greedy algorithm, which use ... See full document
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Prediction of Online Vehicle Insurance System using Decision Tree Classifier and Bayes Classifier A Comparative Analysis
... (or classifier) is a systematic approach used in building classification models from an input data ...Bayes Classifier performs better than Decision Tree Classifier in our ...the ... See full document
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Effectiveness of Linguistic and Learner Features to Listenability Measurement Using a Decision Tree Classifier
... listenability based on the length of sentences and the difficulty of ...of using different linguistic elements such as phonological features, and addressed this question by measuring listenability ... See full document
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Improving the Performance of a Proxy Cache Using Very Fast Decision Tree Classifier
... Fast Decision Tree Classifier (VFDT) 1,12 to train the web object based on the recurrent sliding window method for their systematic classification, so that the web objects can be predicted in ... See full document
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Land Cover Classification Using IRS-1D Data and a Decision Tree Classifier
... classification using maximum likelihood classifier and decision tree ...study, based on Land Cover Classification System (LCCS), seven land cover classes were ...results using ... See full document
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A Practical Differentially Private Random Decision Tree Classifier
... dom decision tree built using D 1 ...is based on D 2 alone, and not on the data D 1 ...dom decision tree ensemble will be ... See full document
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A Decision Tree Classifier for Intrusion Detection Priority Tagging
... a decision tree classifier, us- ing the information of only three easily extracted features (protocol, source port, and destination port), with an accuracy of ...priorities based on its own ... See full document
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Non-sequential partitioning approaches to decision tree classifier
... techniques based on features and objects to make effective decision with respect to quality in semiconductor ...meta classifier using feature set partitioning. Meta classifier decides ... See full document
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Effective image data points extraction via decision tree based on feature classifier
... ters using graph-theoretic clustering ...[5], based on the similarity test, is grouped into ...bound based on separating hyperplane boundaries of Voronoi clusters, as described in [6], complements ... See full document
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Using T3, an improved decision tree classifier, for mining stroke related medical data
... builds decision trees of depth at most three, and results in high accuracy whilst keeping the tree size reasonably ...T3 based on real stroke register data and compare it with ... See full document
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