new support vector algorithm
A Novel Approach to Design the Intelligent Technique for Intrusion Detection In Cloud
... a new algorithm which has been designed and implemented by integrating Naïve Bayes classifier with Support vector Machines (SVM) using intelligent ...a new prevention module where ...
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REDUCTION IN FALSE POSITIVE RATE BY COMBINING SVM AND KNN ALGO
... combining support vector machine (SVM) and K nearest neighbor (KNN) algorithm, to find the better and improved accuracy as compared to previous work ...As support vector machine (SVM) ...
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Anomaly Detection in Network using Genetic Algorithm and Support Vector Machine
... genetic algorithm and classification algorithm for anomaly detection intrusion detection system using soft computing techniques to offer effective security through the provision of detection accuracy, fast ...
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New Intelligent Classification Techniques for Diagnosis of Diabetes Mellitus based on Modified PSO
... ABSTRACT: An overview of some of the classification techniques appearing in this paper for Diabetes diagnoses and treatment. Hybrid optimization techniques are in the form Artificial Neural networks, Genetic ...
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Fake News Detection using Support Vector Machine learning Algorithm
... a new reputation-based source credibility assessment method that introduces several new features into the existing ...simple algorithm that defines a user’s popularity score based on certain features ...
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The Diagnosis of Epilepsy by Gravitational Search Algorithm and Support Vector Machines
... Training set in the supervised learning provides in- formation, which is used to classify new instances. In real applications, there are several instances in the training set, but some of them may not be useful ...
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Implementation of hybrid classification model in distributed systems for network monitoring
... (Support Vector Machine) classification algorithm and Neural Networks classification algorithms identify the pitfalls and propose a new hybrid classification algorithm which is ...
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A Survey on Different Image Segmentation Technique for Brain Tumor Detection from MRI
... a new hybrid technique based on support vector machine (SVM) and the fuzzy c-means for brain tumor ...This algorithm is a combination of support vector machine (SVM) and fuzzy ...
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Sustainable Supplier Selection by a New Hybrid Support Vector-model based on the Cuckoo Optimization Algorithm
... This paper has displayed a new hybrid intelligent approach (i.e., COA-LS-SVM) to facilitate managers in sustainable supplier performance estimation through improvement of the performance index modeling exactness. ...
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Multi step approach for Speeding up Region Based Image Retrieval using Indexing technique
... techniques, support vector machine based learning with new random algorithm called firefly algorithm as a relevance feedback technique into region based image retrieval system ...
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Particle Swarm Optimization With Kernel Support Vector Machine For Churn Prediction In Telecommunication Industry
... a new CCP using hybridization of particle swarm optimization with kernel support vector machine (PSO-KSVM) in telecommunication ...PSO algorithm is used to optimize the variables of SVM namely ...
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The Combination of Mammography and MRI for Diagnosing Breast Cancer Using Fuzzy NN and SVM
... a new hybrid approach based on cuckoo algorithm and support vector machine classifier advantages of which are increasing computation performance and accuracy of SVM parameters that for ...
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Survey on Remotely Sensed Image Classification Techniques using Support Vector Machines and Swarm Intelligence
... approaches. New categorization algorithms contain support vector machine, fuzzy clustering, algorithm evolutionary algorithm, as well as Artificial Neural ...some new ...
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Email Spam Classification Using Support Vector Machine Algorithm
... and new molecule position of every exception ...that, Support Vector Machine (SVM) has been broadly utilized as a part of email spam discovery, yet the issue of managing tremendous information is ...
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A Survey on Stock Market Prediction Using SVM
... more support for the weak form of the efficient markets ...and support vector machines (SVM) models for the stock selection problem: An application on the Istanbul Stock Exchange (ISE) ...Das ...
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Stock Market Prediction Using Support Vector Machine
... problems. Support Vector Machine (SVM) is a relatively new learning algorithm that has the desirable characteristics of the control of the decision function, the use of the kernel method, and ...
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New Advance of Feature Extraction Algorithm for FER
... [8] D. T. Lin, D. C. Pan. Integrating a mixed-feature model and multiclass support vector machine for facial expression recognition, Integrated Computer-Aided Engineering, 2009, 16(1): 61-74.9. W. F. Gu, C. ...
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A NOVEL APPROACH TO GENERATE DISTRIBUTED GLOBAL AND LOCAL USE CASES: A NEW NOTATION
... classifier Support Vector Machine (SVM), where the classification has a shortage of the appropriate parameter selection problem, due to the incompatibility of a parameter settings may cause the results of ...
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Product recommendations using Data Mining and Machine Learning algorithms
... the new user also depend on the other user's choices, but this may not lead to the accurate ...uses Support Vector Machine (SVM) along with a fuzzy decision support system which is more ...
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A Non destructive Defect Estimation Method for Metal Pole Based on Machine Learning Approach
... learning algorithm, that is, Support Vector Machine algorithm is applied for the spectrum distributions obtained from the hammering sounds by using a Fourier ...estimation algorithm ...
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