[PDF] Top 20 Copper Price Prediction Using Support Vector Regression Technique
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Copper Price Prediction Using Support Vector Regression Technique
... the copper market, any variation in its demand translates entirely into price ...the copper mining business, and governments dependent on the copper mining ...leading copper producer ... See full document
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Performance Comparison of Various Kernels of Support Vector Regression for Predicting Option Price
... option price. In this study various regression and optimization techniques for predicting option price and analyzing various phenomena and properties with machine learning techniques for valuation ... See full document
11
Hybrid ARIMA and Support Vector Regression in Short‑term Electricity Price Forecasting
... learning technique, namely support vector regression (SVR), flexibility of this hybrid model should increase compared a single‑method ... See full document
10
Finding kernel function for stock market prediction with support vector regression
... From the theoretical framework, it is clear that the input data consisted of a series of past End Of Day stock market data obtained from Kuala Lumpur Stock Exchange. These data will go through some pre-processing process ... See full document
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Prediction of Student Academic Performance using Neural Network, Linear Regression and Support Vector Regression: A Case Study
... graduation using Neural Network (NN), Support Vector Regression(SVR), and Linear Regression ...Performance Prediction System(SPPS) in a ... See full document
9
Weather Prediction using Linear Regression & Support Vector Machine vide Big Data
... linear regression and support vector machine techniques of machine learning that teams’ constant kind information sets along and to prefigure the forecast or weather ...forecasting using Big ... See full document
10
Data mining and statistical approaches in debris flow susceptibility modelling using airborne LiDAR data
... susceptibility prediction was carried out using two data mining techniques; Multivariate Adaptive Regression Splines (MARS) and Support Vector Regression (SVR) ...checked ... See full document
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Applied Research On House Price Prediction Using Diverse Machine Learning Techniques
... Today prediction of house prices according to the trends is the principal essence of the ...Tree, Support Vector Machine, K Nearest Neighbor, Naive Bayes, Logistic Regression, Stochastic ... See full document
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Diabetes Prediction using Linear Regression, Decision Tree & Least Square Support Vector Machine
... proposed technique will classify the diabetes with certain attributes and will forecast either the person in non-diabetic, acute diabetic or chronic diabetic based on three categories of Type1, Type2 and ... See full document
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MINIMUM WAGE CORRELATION WITH CONSUMER PRICE INDEX PREDICTIONS USING SUPPORT VECTOR REGRESSION
... the price data of staple commodity consumers in eight regions in East Java that have CPI as determined by Statistics Indonesia namely Surabaya, Malang, Madiun, Kediri, Probolinggo, Banyuwangi, Sumenep and Jember, ... See full document
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A novel hybrid model based on Hodrick–Prescott filter and support vector regression algorithm for optimizing stock market price prediction
... Support Vector Regression is one of the most powerful algorithms in machine learn- ...stock price index using SVM ...used support vector regression algorithm ... See full document
22
Indonesia Composite Index Prediction using Fuzzy Support Vector Regression with Fisher Score Feature Selection
... stock price indexes may return profit for ...stock price indexes is stock composite ...solve regression problems, Fuzzy Support Vector Regression (FSVR) is ...stock price ... See full document
8
Seasonal prediction of winter extreme precipitation over Canada by support vector regression
... used technique for seasonal predictions is the empirical or statistical approach, using linear statis- tical methods such as correlation, regression (Ward and Fol- land, 1991), and canonical ... See full document
10
Particle swarm optimized partial least square support vector regression model for tax revenue prediction
... Since the reform and opening up, the economy of China has implemented growth over the past thirty years. In the meantime, the Chinese government has implemented the tax policy of various policy measures, which had ... See full document
9
Water Demand Prediction using Artificial Neural Networks and Support Vector Regression
... Abstract— Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Water is a basic need and as a result, water supply ... See full document
8
Prediction of the Moving Direction of Google Inc. Stock Price Using Support Vector Classification and Regression
... Forecasting the short-term trend of a stock market is still a big challenging task nowadays. This is because that stock market is noisy, chaotic, nonparametric and non-linear in nature, and many external entities like ... See full document
14
Cellular Lightweight Concrete Compressive Strength Prediction Using Support Vector Regression
... method, using stable foam made by foam agent, water, cement paste or mortar, and finally mixing all the components ...in using existing database to avoid unnecessary ...deal using classical ... See full document
5
Fair Price based Expert System for Groceries
... named Using Classification Techniques to Predict Gold Price Movement Wedad Ahmed Al-Dhuraibi and Jauhar Ali used the Regression, Support vector machine (SVM), Decision Tree, K-Nearest ... See full document
6
Analysis of Support Vector Regression Model for Micrometeorological Data Prediction
... agricultural support systems that enable users to monitor and control the environment in greenhouse horticulture or fields have been studied and developed ...precise prediction model for micrometeorological ... See full document
12
Prediction of humidity in weather using logistic regression, decision tree, nearest neighbours, naive bayesian, support vector machine and random forest classifiers
... The weather condition at any instance may be represented by some variables. Out of those variables, the most significant are selected to be involved in the process of prediction. The selection of variables is ... See full document
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