[PDF] Top 20 A binary neural k-nearest neighbour technique
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A binary neural k-nearest neighbour technique
... AURA k-NN detailed in (Weeks et ...AURA k-NN is 97% for the REAL data set and 99% for the IBM data set when the first 25 nearest neighbours are ...50 nearest neighbours are compared and 84% ... See full document
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A Review of Data Classification Using K-Nearest Neighbour Algorithm
... of neural networks or maybe it is any application of Biometrics viz: Handwriting classification or Iris detection, feasibly the most candid classifier in the stockpile or machine learning techniques is the ... See full document
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Title: TO ANALYSIS OF A HAND WRITING RECOGNITION USING K-NEAREST NEIGHBOR(KNN), NEURAL NETWORK (NN) AND DECISION TREE CLASSIFIERS
... Abstract— Handwriting recognition is an important application of forensic science. It mainly finds in application in obtaining the identity of the user from handwriting samples. Every writer has a unique handwriting ... See full document
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Towards Detecting Deception using K Nearest Neighbour Model
... [15] focused on how the behaviour of previously unseen persons can be charted using back-propagation neural network. The work was carried out using a simulated theft scenario where 15 participants were asked to ... See full document
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Prediction Using Back Propagation and k-Nearest Neighbour (k-NN) Algorithm
... and k-nearest neighbor algorithm, to help out executive, investors, user and choice makers in making valuable ...artificial neural network might be more compatible for task primarily because, ... See full document
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Hand written character recognition using SVM
... like neural networks and k-nearest neighbor ...learning technique, Support Vector Machine (SVM), is applied on blur images ...detection technique for training machine on blur ... See full document
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... India is an agricultural country and its economy is largely based upon crop productivity. For analyzing the crop productivity, rainfall prediction is require and necessary. Rainfall Prediction is the application of ... See full document
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Location And Query Privacy In K Nearest Neighbour Queries
... This technique requires the LBS provider to maintain all user ...This technique requires the middleware to anonymize user ...• k-anonymity [22]: This technique ensures that a record can not be ... See full document
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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 ...Artificial Neural Network, Bayesian classifier, Binary decision tree classifier and k-Nearest neighbor ... See full document
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Prediction Of Phishing Websites And Analysis Of Various Classification Techniques
... automated classifier to classify the phishing attacks. They created a classification model using Bayesian statistical classification, J48 Decision tree, Random Forest, K-Nearest Neighbour (KNN) and ... See full document
6
ANNF Estimation Technique and Methods for Finding nearest Neighbour Field
... conventional k-nearest neighbor algorithms can be used effectively on these feature ...Conventional k-nearest neighbor algorithms do not take into consideration any of the image ... See full document
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Improving the Accuracy of K-Nearest Neighbour Method in Long Lead Hydrological Forecasting
... 3. Evolutionary optimization algorithms: Evolution- ary optimization methods are indeed the advanced form of the previous technique (trial and error pro- cess). In the current research, Honey-Bee Mating ... See full document
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An Effective Candidate Refinement Approach For High Dimensional Of K-Nearest Neighbour Search
... This paper for that reason considers the lime processing of more than one kNN queries. More specially, it gives diverse strategies for the primary- memory caching and reuse of previously computed queries; and it ... See full document
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An implementation of least square support vector machine (LS-SVM) for rehabilitation bio-signal analysis using surface electromyography (SEMG) signal
... xi LIST OF ABBREVIATIONS LS-SVM - Least Square Support Vector Machine SVM - Support Vector Machine k-NN - K nearest Neighbour ANN - Artificial Neural Network RBF Radial Basis Function LB[r] ... See full document
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A New Decision Tree for Recognition of Persian Handwritten Characters
... a binary decision tree, based on Neural Networks, Support Vector Machine and K-Nearest Neighbor is employed and presented for recognition of Persian handwritten isolated digits and ... See full document
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Scalable Distributed Processing of K nearest Neighbour Queries over Moving Objects
... Querying scheme supporting both user and user to access and update the data and dynamic update over data. We make contributions mainly in two aspects: prediction and showing store the data securely and distribute data ... See full document
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Improving classification performance of k nearest neighbour by hybrid clustering and feature selection for non communicable disease prediction
... Non-communicable Diseases (NCDs) are leading mortality rate and cause of death in worldwide. NCDs also known as chronic diseases are a long-lasting condition that can be controlled, but not cured. Top three main types of ... See full document
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Discretisation of Data in a Binary Neural k-Nearest Neighbour Algorithm
... AURA k-NN in turn to predict the t+ 1 attribute value for the selected prediction attribute for that data ...10 nearest neighbours to generate the t+ 1 prediction for each of the records in the test set by ... See full document
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Automated identification of Monogeneans using digital image processing and K nearest neighbour approaches
... 1996, the Dinoflagellate categorization (DiCANN) system, based on neural networks [16] was developed. Subse- quently, forensic identification of mammals according to their single hair patterns under a microscope ... See full document
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Human Object Behavior Monitoring System based on Machine Learning Algorithm
... K-Nearest Neighbour is one of the machine learning ...KNN binary is given more accurate data ...the K-nearest ...classes, k must be an odd integer. However, there will be ... See full document
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