[PDF] Top 20 Support Vector Machine versus k-Nearest Neighbor for Arabic Text Classification
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Support Vector Machine versus k-Nearest Neighbor for Arabic Text Classification
... the k nearest neighbors among the pre- classified training documents based on some similarity measure, and ranks those k neighbors based on their similarity scores, the categories of the k ... See full document
5
Facial Gesture Recognition using Surface EMG and Multiclass Support Vector Machine (SVM)
... for classification using support vector machine (SVM) and k-nearest neighbor (k- ...best classification accuracy is ... See full document
5
Performance Evaluation of Various Classification Algorithms
... - Classification is a technique in which the data is categorized into 2 or more ...the classification problem is to identify the category of the test ...different classification models on the dataset ... See full document
6
CKD Prediction using Data Mining Technique as SVM and KNN with Pycharm
... Researchers have conducted numerous studies related to CKD using different data mining techniques in recent years. Chronic kidney disease has become a global health issue and it’s an area of concern. It’s a condition ... See full document
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Random bits regression: a strong general predictor for big data
... and classification can be classified as: linear regression, k nearest neighbor(KNN) [3], support vector machine (SVM) [4], neural network (NN) [5, 6], extreme learning ... See full document
10
Performance Evaluation of Machine Learning Models for Diabetes Prediction
... using Machine learning algorithms to predict the disease from the relevant datasets at an early stage could likely save human ...using classification algorithms such as K Nearest ... See full document
5
A Study of Current State of Work done for Classification in Indian Languages
... document classification and classifiers and specified an insight into text classification process, its phases and various ...of text classification up to some extent but claims that ... See full document
5
Performance Analysis of SVM, k-NN and BPNN Classifiers for Motor Imagery
... using Support Vector Machine (SVM), k-Nearest Neighbor (k-NN) and Backpropagation Neural Network ...maximum classification accuracy obtained using SVM is 78.57%, ... See full document
5
Application of KNN-Genetic Algorithm for Analysing Student Learning in Educational Data Mining Paradigm
... the classification of data. K-Nearest Neighbor, Support Vector Machine, Genetic Algorithm have been discussed in this ... See full document
5
Supervised Learning Classification Algorithms Comparison
... supervised machine learning, classification tasks are one of the most important tasks as a part of data ...different machine learning ...different classification models’ performance on the ... See full document
6
Some Investigations on Machine Learning Techniques for Automated Text Categorization
... task. Machine learning technique is an approach by which we can train automated classifier to classify the documents with minimum human ...Rocchio, k-Nearest Neighborhood and Support ... See full document
5
Performance of Hybrid Ensemble Classification Techniques for Prevalence of Heart Disease Prediction
... However, machine learning techniques have mystery to classify heart disease data efficiently and effectively and provide reliable ...various machine learning tools and techniques have been ...ensemble ... See full document
8
Automatic Detection of Whitefly Pest using Statistical Feature Extraction and Image Classification Methods
... Then, k-means clustering method is used for segmenting pest from infected ...like Support Vector machine, Artificial Neural Network, Bayesian classifier, Binary decision tree classifier and ... See full document
10
Predicting Student’s Performance Using Data Mining Techniques: A Survey From 2002 To 2020
... Bayes, K-Nearest Neighbor and Support Vector Machine are the classification methods used for prediction of student ...Network classification methods because of ... See full document
5
Text Classification and Classifiers: A Comparative Study
... a classification algorithm is most affected by the quality of data ...cases support vector machine and K-nearest neighbor have better accurate result neural network is ... See full document
5
Automatic Marathi Text Classification
... of machine learning approaches and analyzed the efficiency of four supervised learning methods namely Decision Tree, K-Nearest Neighbor (KNN), Naïve Bayes and Support Vector ... See full document
9
Comparative Study for Text Document Classification Using Different Machine Learning Algorithms
... supervise machine learning algorithm and then applied trained model to predict the label of the unknown ...of text document classification consists of: input text document, pre-processing, ... See full document
7
Species Identification Using Part of DNA Sequence: Evidence from Machine Learning Algorithms
... Cluster-K-Nearest Neighbor (C-K-NN) [13], [14] is a classifier that combines two algorithms; the K-means modified algorithm [15] and the K-Nearest ...using K-means. ... See full document
5
Comparative Study Over Recent Classification Techniques
... - Classification is one the most useful and important ...techniques. Classification techniques are useful to handle large amount of ...data. Classification is used to predict categorical class ... See full document
6
A New Decision Tree for Recognition of Persian Handwritten Characters
... ABSTRACT In this paper a binary decision tree, based on Neural Networks, Support Vector Machine and K-Nearest Neighbor is employed and presented for recognition of Persian handwritten is[r] ... See full document
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