[PDF] Top 20 Performance Analysis of Classification Tree Learning Algorithms
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Performance Analysis of Classification Tree Learning Algorithms
... supervised learning approach, which maps a data item into predefined ...various classification algorithms proposed in the ...four classification algorithms such as J48, Random Forest ... See full document
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Student’s Performance Analysis using Decision Tree Algorithms
... decision tree method is used ...the performance at the end of the semester ...is, classification is an interesting topic to the researchers as it is accurately and efficiently classifies the data for ... See full document
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Design Of Hybrid Classifier For Prediction Of Diabetes Through Feature Relevance Analysis
... through classification analysis by employing decision tree and naïve Bayes algorithm in WEKA where Decision tree classification has been implemented using ...pruned tree. The ... See full document
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A Comparative Study of Machine Learning Algorithms and Their Ensembles for Botnet Detection
... machine algorithms including their ensembles on botnet detection has not been figured ...popular classification machine learning algorithms—Naive Bayes, Deci- sion tree, and Neural ... See full document
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Comparative Analysis of Classification Algorithms for Student Performance
... the algorithms and gathering their results, and with the results we concluded that the k-nearest neighbor had the best results as compared to Naïve Bayes and ... See full document
5
Decision support methods in diabetic patient management by insulin administration neural network vs induction methods for knowledge classification
... These algorithms have been applied in various domains, and several experimental studies have evaluated their accuracy using benchmarking data From the set of available algorithms, Murthy’s OC1 [10] was ... See full document
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Analysis of Tree Based Supervised Learning Algorithms on Medical Data
... namely Classification, Estimation, Prediction, Affinity grouping or Association rules, Clustering, Description and ...tasks- classification, estimation and prediction are all examples of the directed data ... See full document
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A TREE BASED MODEL FOR HIGH PERFORMANCE CONCRETE MIX DESIGN
... machine learning tool with default parameters for the base ...machine learning algorithms and data pre processing ...The performance of the classifiers is evaluated and their results are ... See full document
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A Hybrid Ensemble Method for Accurate Breast Cancer Tumor Classification using State-of-the-Art Classification Learning Algorithms
... the performance of support vector machines (SVMs), eight hybrid learning models, artificial neural networks (ANNs), Naive Bayes classification and AdaBoost ...component analysis and other data ... See full document
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Application of Meta learning in Banking Sector
... mining algorithms on these data base, patterns are extracted which are converted into ...machine learning algorithms, Classification and Regression Tree (CART), Adaboost and Logitboost, ... See full document
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MACHINE LEARNING APPLICATION IN LOAN DEFAULT PREDICTION
... decision tree classifier.The results, verify that machine learning algorithms yield higher forecast ...Machine learning algorithms can help to recognize the importance of the ...machine ... See full document
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AN APPROACH FOR FEATURES MATCHING BETWEEN BILATERAL IMAGES OF STEREO VISION SYSTEM APPLIED FOR AUTOMATED HETEROGENEOUS PLATOON
... machine learning and data mining, capable to produce accurate and easy-to-understand ...two algorithms in order to obtain a very efficient algorithm with respect to time and also with the result of the ... See full document
10
Improving the Student’s Performance Using Educational Data Mining
... student performance. Here by, data mining techniques such as data classification and decision tree methods are used to evaluate the student ...The analysis of performance can be done in ... See full document
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Appraisal of the Classification Technique in Data Mining of Student Performance using J48 Decision Tree, K Nearest Neighbor and Multilayer Perceptron Algorithms
... student performance is to find out new values and relationships among data ...several algorithms used in EDM to study student performance. Algorithms such as Sequential Minimal Optimization ... See full document
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Predicting the Enrollment and Dropout of Students in the Post Graduation Degree using Machine Learning Classifier
... seven classification algorithms namely Naïve Bayes, Multilayer Perceptron, Logistic, Locally Weighted Learning (LWL), Random Forest, Random Tree, and Part are applied in this ...each ... See full document
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Performance Analysis of Decision Tree Algorithms on Mushroom Dataset
... for classification and ...decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, ... See full document
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IJCSMC, Vol. 6, Issue. 8, August 2017, pg.49 – 54 A COMPARATIVE STUDY OF DIAGNOSING LIVER DISORDER DISEASE USING CLASSIFICATION ALGORITHM
... analyzed algorithms such as C4.5, Naive Bayes, Decision Tree, Support Vector Machine, Back Propagation Neural Network and Classification and Regression Tree ...accuracy, performance and ... See full document
6
A Study on Implementation of different Data Mining Techniques on Healthcare
... Decision Tree techniques has shown useful accuracy in the diagnosis of heart ...supervised learning method used for ...by learning simple decision rules inferred from the data ...decision tree ... See full document
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Machine Learning Classification Algorithms for Predictive Analysis in Healthcare
... machine learning tool which will enhance prediction accuracy in ...machine learning for heathcare ...machine learning classification ... See full document
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A Novel Approach to Enhance Teaching and Learning Through Mining and Learning Analytics
... regression, classification trees, classification and regression trees and discriminant ...the learning behaviour and characteristics of ...the learning behaviour of Student’s is explained in ... See full document
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