[PDF] Top 20 Stock Market Prediction Using Support Vector Machine
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Stock Market Prediction Using Support Vector Machine
... The support vector machine (SVM) is a training algorithm for learning classification and regression rules from data, for example the SVM can be used to learn polynomial, radial basis function (RBF) ... See full document
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Title: STOCK MARKET PREDICTION USING MACHINE LEARNING TECHNIQUE
... In machine learning, support vector regression (SVR) was developed by Vapniket ...squares support vector regression (LSSVR) algorithm is a further development of SVR by Suykens (2001) ... See full document
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Support Vector Machines for Prediction of Futures Prices in Indian Stock Market
... two machine learning techniques: Back Propagation Technique (BP) and Support Vector Machine Technique (SVM) have been used to predict futures prices traded in Indian stock ...out ... See full document
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Finding kernel function for stock market prediction with support vector regression
... in stock market prediction, KLSE Stock data, time series modeling and stock prediction, data mining operations and techniques and lastly support vector ... See full document
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Machine Learning on Stock Price Movement Forecast: The Sample of the Taiwan Stock Exchange
... best prediction to the ...better stock price ...regions, support vector regression (SVR) is applied to forecast financial ...tested using stock price series from seven major ... See full document
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Prediction of Stock market using Machine Learning and Artificial Neural Network
... “Stock Market Prediction System by using Artificial Intelligence and Machine Learning ...indispensable support, suggestions and motivation during course of the paper writing ... See full document
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Support Vector Machine and Least Square Support Vector Machine Stock Forecasting Models
... Table 3 shows the difference between maximum and minimum MAPE of the 60 results. This is crucial when selecting which model to use in forecasting. Remember these results are from the extreme volatile period caused by ... See full document
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Prediction of Stock Market using Machine Learning Algorithms
... 1) M.Suresh Babu et al., 2012, this paper investigates the significant clustering calculations: K-Means, Hierarchical grouping calculation and turn around K-Means and look at the execution of these noteworthy clustering ... See full document
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Stock Market Prediction Using Machine Learning
... Numerous machine learning techniques have been used over the past decade to forecast the stock ...market. Machine learning techniques are by far the most widely used ... See full document
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INDIAN STOCK MARKET TREND PREDICTION USING SUPPORT VECTOR MACHINE
... from market efficiency to the number of factors containing information on future stock ...of support vector regression on the other hand, has gained great momentum in its ability to predict ... See full document
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Machine Learning and Artificial Neural Network Process – Viability and Implications in Stock Market Prediction
... the prediction accuracy and ...In prediction the significant variables are “Low”,”Open” and “High” and the variable ”Month” does not give any support for the ...the prediction through linear ... See full document
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Stock Market Forecasting Based on Text Mining Technology: A Support Vector Machine Method
... With no accident, expansion input model preforms better than original model in general except that the company 601390 in SVR, whereas in SVC model the result is entirely opposite. One possible reason for that is the ... See full document
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360° View Camera Based Visual Assistive Technology for Contextual Scene Information
... This chapter presents a literature review of the characteristics of convolutional neural net- works that allows for using them for the implementation of contextual scene information extraction using object ... See full document
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An Optimal Churn Prediction Model using Support Vector Machine with Adaboost
... Customer churn is a common measure of lost customers. By minimizing churn, a company can maximize its profits. Companies have recognized that existing customers are most valuable assets. Customer retention is important ... See full document
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Traffic Flow Prediction using Combination of Support Vector Machine and Rough Set
... flow prediction where rough set and genetic algorithm were applied for the selection of the relevant forecasting ...for prediction of traffic ...model using rough set and neural network where rough ... See full document
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An Approach to Efficient Software Bug Prediction using Regression Analysis and Neural Networks
... Early prediction of bugs in software has proven to be helpful to software testing and quality assurance team and has been an area of continuous study since ...Defect prediction is very important in the ... See full document
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Prediction of Heart Disease Using Machine Learning
... There are different data mining techniques that can be used for the identification and prediction of Heart disease among patient. In this paper there are two different algorithms are compared, which are used to ... See full document
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Symptom Recommendation using Collaborative Filtering and Disease Prediction using Support Vector Machine
... where W=weight factor, I=input vector and bias. The hyperplane which divides is defined by f(x)=0. Therefore the first class that falls above the hyperplane has f(x)>0 and another class below the plane is ... See full document
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Prediction of Tanzanian Energy Demand using Support Vector Machine for Regression (SVR)
... the prediction of energy demand with the use of polynomial-SVR kernel in comparison to the economic and environment indicators models using PUKF-SVR ... See full document
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Prediction of Solar Irradiation Using Quantum Support Vector Machine Learning Algorithm
... quantum support vector algorithm was simu- lated using Python programming ...quantum support vector algorithm for solar power ... See full document
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