Classification and Performance Results and Analysis
ANALYSIS OF FACULTY PERFORMANCE EVALUATION USING CLASSIFICATION
... the performance of five classification algorithms namely Logistic Regression, Decision Tree, Linear SVM, Neural Network and Naïve Bayes in terms of the Accuracy, Sensitivity and Specificity of their ...
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Performance Analysis of Unsupervised Classification based on Optimization
... Tamilnadu, India ABSTRACT Unsupervised classification is one of the primary research areas in data mining. Clustering algorithm partitions a data set into several groups based on the similarity. Quick reduct ...
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Performance Analysis of Lung Disease Detection and Classification
... and classification of lung disease in CT images is ...good results. Finally classification is used for classified of segmented lung ...Our Classification method achieved more accuracy than ...
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Performance Analysis of Data Mining Classification Techniques
... KEYWORDS: Data Mining, Data Mining Classification Techniques, Naïve Bayes, Artificial Neural Network (ANN), K-Nearest Neighbors (KNN), Decision Tree. I. INTRODUCTION We are in information age, and we need a robust ...
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Performance Analysis of SVM Classifier for Classification of MRI Image
... The two forms of multi-kernel SVM have very different characteristics. The former takes full use of the properties of their own in different types of data, which are independent. The use of different kernel functions can ...
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Performance Analysis of various rule based Classification Techniques
... These patterns can then be seen as a kind of summary of the input data, and may be used in further analysis or, for example, in machine learning and predictive analytics. For example, the data mining step might ...
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Performance Analysis of Classification of DCE - MRI Using SVM
... The Performance analysis of the GLCM shows that more ...The results shows that the complexity of the image classification process reduces highly because the proposed system classifies an image ...
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DATA MINING CLASSIFICATION TECHNIQUES ON THE ANALYSIS OF STUDENT’S PERFORMANCE.
... The classification method was implemented to build a workflow that reads the school marks data from the file uploaded in KNIME; to build a decision tree and display the ...then results of the student in the ...
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Performance Analysis of Quantitative Attributes Inverse Classification Problem
... inverse classification method of quantitative attributes is proposed to solve the limitations of discrete ...inverse classification algorithm analyzes both the training samples and test ...the ...
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Analysis and Implementation Machine Learning for YouTube Data Classification by Comparing the Performance of Classification Algorithms
... the classification of data, the research has implemented to make Bags of ...the classification model understands keywords against the data ...Model results from learning training data will then be ...
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Performance analysis of supervised learning models for product title classification
... title classification is an important task in assisting retailers and sellers to list a product in a suitable ...title classification is a part of text classification problem but the properties of ...
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Performance Analysis of Data Mining Classification Techniques to Predict Diabetes
... for classification and ...higher performance to classify diabetic patients, across three age groups in the Canadian population, using bagging adaboost as well as J48 decision ...of results indicates ...
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Performance Analysis of Big data Classification Techniques on Diabetes Prediction
... for classification. Classification is the general technique used in the medical analysis for data ...paper classification algorithms like Support vector machine, Naïve Bayesian and ...the ...
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Gender Clustering and Classification Algorithms in Speech Processing: A Comprehensive Performance Analysis
... same analysis was applied to another dataset, which previously yielded the supramarginal gyrus using a univariate adaptation–FMRI ...in results between univariate and multivariate pattern-based analyses of ...
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PERFORMANCE ANALYSIS OF VARIOUS DATA MINING CLASSIFICATION TECHNIQUES ON HEALTHCARE DATA
... survival analysis . They used the SEER(Surveillance Epidemiology and End Results) data’s twenty variables in the prediction ...an analysis of the prediction of survivability rate of breast cancer ...
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A Comprehensive Performance Analysis of GLCM DWT based Classification on Fingerprint Identification
... The organization of the paper is as follows. Section II introduces some preliminary information about GLCM-based feature extraction as well as the methodology and calculations. Section III presents the results and ...
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Results from the Supernova Photometric Classification Challenge
... report results from the Supernova Photometric Classification Challenge (SNPhotCC), a pub- licly released mix of simulated supernovae (SNe), with types (Ia, Ibc, and II) selected in proportion to their ...
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Performance Analysis of Classification Tree Learning Algorithms
... which is best among J48, REP and LMT methods of classification. Table 6 depicts instances correctly predicted vs. instance incorrectly predicted with accuracy and total execution time taken by each algorithm. The ...
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Performance Analysis of Classification Algorithms in Predicting Diabetes
... RESULT ANALYSIS Table 2 shows Naïve Bayes classifier being the simplest classifier have performed well with an accuracy of ...The performance of Logistic Regression in classifying instances correctly is ...
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Comparative Analysis of Classification Algorithms for Student Performance
... students performance in the second semester. Classification techniques from Data mining were applied to develop the models like Naïve Bayes, Support Vector Machine (SMO) and K-nearest neighbors ...
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