[PDF] Top 20 Comparison of Decision Tree and ANN Techniques for Data Classification
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Comparison of Decision Tree and ANN Techniques for Data Classification
... Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from educational settings, and using those methods to better understand ... See full document
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Prediction of Skin Disease using Decision Tree and Artificial Neural Network (ANN)
... and classification of skin ...efficient classification of skin ...on data gathered from the southern part of Kerala, ...Two data mining classification algorithm Naive Bayes’ (NB) and ... See full document
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Performance Analysis for Visual Data Mining Classification Techniques of Decision Tree, Ensemble and SOM
... setup, data collection methods, implementation and result analyses of market segmentation and forecasting using neural network based artificial intelligence ...visual data mining applications for enhancing ... See full document
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A Review on Injury Severity in Traffic System using Various Data Mining Techniques
... using classification & regression ...a decision tree which predicts causes of accidents and accident prone ...various data mining techniques and tells Random forest Outperforms than ... See full document
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An Approach Towards E-Learning Using SVM Classification Technique and Ranking Technique in Microblog Supported Classroom: A Survey
... Data classification is a two-step process from which first step is to built describing a predetermined set of data ...a classification algorithm builds the classifier by analysing or learning ... See full document
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A Review on Heart Disease Prediction using Machine Learning and Data Analytics Approach
... work. Data analytics is useful for prediction from more information and it helps medical centre to predict of various ...related data is maintained on monthly basis. The stored data can be useful for ... See full document
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Analysis of Heart Disease Prediction System using Data Mining Techniques
... using data mining techniques.They have used three different classification techniques such as K-means classification, Decision tree and MAFIA(A Maximal Frequent Item set) ... See full document
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Comparative Analysis of Various Data Mining Techniques on Educational Datasets
... A classification model can be represented in different forms like neural network and decision tree which is shown in ...in data and well suited for prediction or forecasting ... See full document
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Implementation of Classification Algorithms and their Comparison for Educational Dataset
... Decision tree can easily be converted to classification ...tree. Decision trees are simple to understand and provide good results even with small data ....Decision ... See full document
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Improving the Student’s Performance Using Educational Data Mining
... The scope of this research paper, makes to extract the knowledge discover from the student database for improving the student performance. Here by, data mining techniques such as data ... See full document
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A Comparative study of Data stream classification using Decision tree and Novel class Detection Techniques
... non-stationary data streams ...option tree is able to achieve better accuracy faster than a regular regression ...the data with gradual concept ...the decision model to concept ...Probing ... See full document
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Comparative Study Over Recent Classification Techniques
... of Data Mining Classification Algorithms: An Empirical Comparative ...how data mining classification algorithm perform with increase in input data ...three data mining ... See full document
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A COMPARISON OF CLASSIFIERS PERFORMANCE FOR PESTICIDE USAGE AND TOXICITY CATEGORIZATION TO CONTROL EXCESSIVE PRACTICES
... The data mining classification techniques like decision tree, neural networks, Support vector machine ...toxicity classification helps to classify the toxic levels in pesticides ... See full document
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Decision tree Classification and Model Evaluation for Breast Cancer Survivability: A Data Mining Approach
... uncovering data patterns in large volume of ...by data mining techniques. . While taking treatment decision for Breast Cancer multiple factors are to be ...Cancer data is analyzed to ... See full document
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Prognosis of Heart Disease using Data Mining Techniques: A Comprehensive Survey
... Purushottama , Prof. (Dr.) Kanak Saxena, Richa Sharma et al. (2016) have designed an efficient Heart Disease Prediction System using data mining. The system was trained and tested using 10 fold method and an ... See full document
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A Hybrid Machine Learning Approach for Credit Scoring Using PCA and Logistic Regression
... for decision makers to use only one model in decision making due to many qualitative considerations ...distribution. ANN has more advantages in credit scoring compared to other statistical methods ... See full document
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Machine Learning Based Diagnosis and Prediction System for Congestive Heart Failure
... the data with more ...technology. Decision tree is one of the best classification techniques of machine learning which will analyze the data and predict the disease with ...on ... See full document
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STUDY ON DECISION TREE COMPETENT DATA CLASSIFICATION
... from data. It is extraction of large database into useful data or information and that information is called ...knowledge. Data mining is always inserted in techniques for finding and ... See full document
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A Survey on Prediction of Diabetes Using Data Mining Technique
... of data and exhibiting it in a condition that is easily understandable to ...the Data mining techniques in various sectors like banking, education, ...domain data mining can be effectively ... See full document
5
Classification Techniques for Predicting Graduate Employability
... of decision trees based ...employ. Data from tracer study for 2009 was ...concluded, decision tree algorithm J48 is a suitable algorithm in tracing the data because of its information ... See full document
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