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[PDF] Top 20 Sales Forecasting using Linear Regression and Support Vector Machine

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Sales Forecasting using Linear Regression and Support Vector Machine

Sales Forecasting using Linear Regression and Support Vector Machine

... Robert Fildes and Paul Goodwin (2006) have explained in their work that forecasts play a key role in the management of the supply chain. In most organizations such forecasts form part of an information system on which ... See full document

7

Diabetes Prediction using Linear Regression, Decision Tree & Least Square Support Vector Machine

Diabetes Prediction using Linear Regression, Decision Tree & Least Square Support Vector Machine

... ABSTRACT: Machine learning algorithms will facilitate us to sight the onset endocrinology or diabetes ...numerous machine learning algorithms. However, under this scheme using Linear ... See full document

8

Weather Prediction using Linear Regression & Support Vector Machine vide Big Data

Weather Prediction using Linear Regression & Support Vector Machine vide Big Data

... The Linear regression only shows the 2-dimensional model based on confusion matrix case where the data points are linearly ...following Support Vector Machine ...component ... See full document

10

Sales Forecasting using Linear Regression and K-Nearest Neighbour

Sales Forecasting using Linear Regression and K-Nearest Neighbour

... of Linear Regression and K-NN along-with Euclidean Distance Function thereafter, features and variant factors will drawn with results based on categories, products, cities and countries which will proposed ... See full document

6

Comparative Evaluation of Multiple Linear Regression and Support vector Machine aided Linear and Non

Comparative Evaluation of Multiple Linear Regression and Support vector Machine aided Linear and Non

... . Linear QSAR models were developed, using the most simple and popular method multiple linear regression and support vector machine aided linear method while ... See full document

6

MACHINE LEARNING TOOLS-AN OVERVIEW

MACHINE LEARNING TOOLS-AN OVERVIEW

... Recently, Machine learning has great scope in industry business, healthcare, transportation ...ideas using machine learning techniques. As machine learning techniques are applied in areas like ... See full document

9

Seasonal Based Electricity Demand Forecasting Using Time Series Analysis

Seasonal Based Electricity Demand Forecasting Using Time Series Analysis

... methods using renewable resources such as sunlight, wind, rain, tides, and waves are season ...efficient forecasting techniques. In this paper, a WEKA time series forecasting is being done for the ... See full document

10

A Comparative study of Data Classification Techniques for Coronary Artery Disease

A Comparative study of Data Classification Techniques for Coronary Artery Disease

... not using Framingham heart attack dataset. The algorithms are Support Vector Machine, XGBoost, Linear Regression, Logistic Regression, KNN, Naïve Bayesian and we compare ... See full document

7

The Application of Support Vector Machine in Load Forecasting

The Application of Support Vector Machine in Load Forecasting

... Support Vector Machine (SVM) is a class of supervised learning algorithms first introduced by ...nonlinear regression problem, SVM do nonlinear transformation by defining the appropriate ... See full document

8

Applying Data Mining Technique for Predicting Incubator Length of Stay in Egypt and USA

Applying Data Mining Technique for Predicting Incubator Length of Stay in Egypt and USA

... States, using different types of algorithms on the task of predicting incubator's length of ...bayes, support vector machine, logistic regression and linear ...environments, ... See full document

8

A Machine Learning Approach to Forecast Bitcoin Prices

A Machine Learning Approach to Forecast Bitcoin Prices

... several machine learning models in order to predict the price of the most popular cryptocurrency – ...various machine learning algorithms employed are – Linear Regression, K-Nearest Neighbors, ... See full document

8

Review on Weather Forecasting using Linear Regression and SVM in Big Data

Review on Weather Forecasting using Linear Regression and SVM in Big Data

... methodology using support vector machines [6] Additionally associated the classifier direct for atmosphere estimate yet was more limited in degree than the neural framework ...included using ... See full document

5

A Survey on Different Machine Learning Techniques for Air Quality Forecasting for Urban Air Pollution

A Survey on Different Machine Learning Techniques for Air Quality Forecasting for Urban Air Pollution

... Abstract: The delinquent of air pollution has become a staid concern in developed as well as developing republics. Distressing human’s respiratory and cardiovascular system, air pollution is the origin for increased ... See full document

10

Support Vector Regression In Statistical Downscaling For Rainfall Forecasting

Support Vector Regression In Statistical Downscaling For Rainfall Forecasting

... on linear regression such as principal component regression can be a solution in these problems by performing dimension reduction ...component regression is regression analysis ... See full document

5

Forecasting revenue passenger enplanements using wavelet-support vector machine

Forecasting revenue passenger enplanements using wavelet-support vector machine

... quantitative forecasting models falls into two categories which are econometric modelling and forecasting but little attention has been paid on time series models in air passenger traffic ...(ANN), ... See full document

37

Financial time series forecasting using Simulated Annealing and Support Vector Regression

Financial time series forecasting using Simulated Annealing and Support Vector Regression

... the forecasting of financial time series of the BMV, which is named SAP-SVR (SA algorithm with Parallel ...classical forecasting methods and new heuristic and machine learning algorithms of financial ... See full document

9

Forecasting Grain Supply and Demand with Support Vector Regression

Forecasting Grain Supply and Demand with Support Vector Regression

... the machine leaning algorithm to analyses grain supply and demand of ...samples, support vector regression is used to forecast the tread of grain supply and ...that support ... See full document

5

Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model

Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model

... In this study, we did not adopt a pre-processing technique for input data for developing the respective drought models. One criticism of data-driven models without a pre-processing technique is their inability to account ... See full document

68

Analysis of Global Warming Using Machine Learning

Analysis of Global Warming Using Machine Learning

... mainstream machine learning algorithms on our data, which includes linear regression, lasso, support vector regression and random forest, to build the state of the art model to ... See full document

15

Support Vector Machine and Least Square Support Vector Machine Stock Forecasting Models

Support Vector Machine and Least Square Support Vector Machine Stock Forecasting Models

... wavelet-based forecasting models through which we would like to test the predictability of the models and compare those without the wavelet-based ...to support the development of other approaches like ... See full document

10

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