ForeXGBoost: passenger car sales prediction based on XGBoost

No abstract is available for this paper.

• Publication year

  2020

• Venue

  Distributed and parallel databases

• Publication date

  2020-05-25

• Fields of study

  Business, Computer Science

• Identifiers
  DOI 10.1007/s10619-020-07294-y
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Data analytics for Cooperative Intelligent Transport Systems

  2019cited by this paper
• Time-Series Multispectral Indices from Unmanned Aerial Vehicle Imagery Reveal Senescence Rate in Bread Wheat

  2018cited by this paper
• An Analysis of Hierarchical Text Classification Using Word Embeddings

  2018cited by this paper
• Multi-Instance Learning with Discriminative Bag Mapping

  2018cited by this paper
• Predicting Vehicle Sales by Sentiment Analysis of Twitter Data and Stock Market Values

  2018cited by this paper
• Instance cloned extreme learning machine

  2017cited by this paper
• Cooperative Intelligent Transport Systems in Europe: Current Deployment Status and Outlook

  2017cited by this paper
• Model Ensemble for Click Prediction in Bing Search Ads

  2017cited by this paper
• Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation

  2017cited by this paper
• Customer churn prediction in an internet service provider

  2017cited by this paper
• Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

  2017cited by this paper
• Vehicle Speed Prediction by Two-Level Data Driven Models in Vehicular Networks

  2017cited by this paper
• Sales Forecast in E-commerce using Convolutional Neural Network

  2017cited by this paper
• LightGBM: A Highly Efficient Gradient Boosting Decision Tree

  2017cited by this paper
• A hybrid optimization approach to forecast automobile sales of China

  2017cited by this paper
• Unsupervised Feature Learning from Time Series

  2016cited by this paper
• Bridging the divide in financial market forecasting: machine learners vs. financial economists

  2016cited by this paper
• Intelligent Transportation Systems – Problems and Perspectives

  2016cited by this paper
• A Vehicular Cloud-Based Framework for the Intelligent Transport Management of Big Cities

  2016cited by this paper
• Sequence to Sequence Weather Forecasting with Long Short-Term Memory Recurrent Neural Networks

  2016cited by this paper
• Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction

  2016cited by this paper
• XGBoost: A Scalable Tree Boosting System

  2016cited by this paper
• Probabilistic electric load forecasting: A tutorial review

  2016cited by this paper
• Tree Boosting With XGBoost - Why Does XGBoost Win "Every" Machine Learning Competition?

  2016cited by this paper
• Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model

  2016cited by this paper
• Big social network influence maximization via recursively estimating influence spread

  2016cited by this paper
• Linear, machine learning and probabilistic approaches for time series analysis

  2016cited by this paper
• Financial Time Series Prediction Using Elman Recurrent Random Neural Networks

  2016cited by this paper
• SALES BUDGET FORECASTING AND REVISION BY ADAPTIVE NETWORK FUZZY BASE INFERENCE SYSTEM AND OPTIMIZATION METHODS

  2016cited by this paper
• Autonomous Vehicle Implementation Predictions: Implications for Transport Planning

  2015cited by this paper
• Forecasting Method for Grouped Time Series with the Use of k-Means Algorithm

  2015cited by this paper
• Understanding viewer engagement of video service in Wi-Fi network

  2015cited by this paper
• Intelligent Transport Systems: Technologies and Applications

  2015cited by this paper
• Forecasting of Time Series' Groups with Application of Fuzzy c-Mean Algorithm

  2015cited by this paper
• Forecasting German Car Sales Using Google Data and Multivariate Models

  2015cited by this paper
• The Effect of Economic Policies Applied in Turkey to the Sale of Automobiles: Multiple Regression and Neural Network Analysis☆

  2014cited by this paper
• Time series forecasting using a deep belief network with restricted Boltzmann machines

  2014cited by this paper
• Higgs Boson Discovery with Boosted Trees

  2014cited by this paper
• Artificial immune system for attribute weighted Naive Bayes classification

  2013cited by this paper
• General Sales Forecast Models for Automobile Markets and their Analysis

  2012cited by this paper
• Using adaptive network-based fuzzy inference system to forecast automobile sales

  2011cited by this paper
• Stochastic gradient boosted distributed decision trees

  2009cited by this paper
• Learning and Intelligence [Editor's remarks]

  2009cited by this paper
• Time Series Prediction Using Support Vector Machines: A Survey

  2009cited by this paper
• Time Series Prediction Based on Linear Regression and SVR

  2007cited by this paper
• Applied Logistic Regression: Hosmer/Applied Logistic Regression

  2005cited by this paper
• Applied Logistic Regression

  2002cited by this paper
• Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

  2001cited by this paper
• Boosting Decision Trees

  1995cited by this paper
• Time Series Prediction : Forecasting The Future And Understanding The Past

  1994cited by this paper
• Applied Logistic Regression, Second Edition

  1989cited by this paper
• Linear regression analysis

  1977cited by this paper
• 2016 Ieee International Conference on Big Data (big Data) Predicting Rare Failure Events Using Classification Trees on Large Scale Manufacturing Data with Complex Interactions

  year unknowncited by this paper

• Predictive analysis of electric vehicle prices across various car brands in Germany

  2025cites this paper
• Virtualized Deployment of Predictive Analytics in the Automotive Sector: Auto-scaling for containerized applications

  2025cites this paper
• Research on Multi technology Route Sales Prediction and Carbon Emission Reduction Collaborative Optimization in the Passenger Car Market from the Perspective of Environmental Management

  2025cites this paper
• HybridTimeNet: A Novel Approach to Proactive Load Forecasting in a Cloud Environment

  2025cites this paper
• Smart Sales Forecasting Machine Learning Models for Demand Prediction in Retail

  2025cites this paper
• Optimized multi-anchor space-aware temporal convolutional neural network for automobile sales prediction

  2025cites this paper
• Optimizing sales strategy in the Indian automobile industry: Predicting future car prices using machine learning and demographic data

  2024cites this paper
• Development of a Time Series E-Commerce Sales Prediction Method for Short-Shelf-Life Products Using GRU-LightGBM

  2024cites this paper
• Research on the impact of sliding window and differencing procedures on the support vector regression model for load forecasting

  2024cites this paper
• Perakende Sektöründe Makine Öğrenmesi Algoritmalarının Karşılaştırmalı Performans Analizi: Black Friday Satış Tahminlemesi

  2024cites this paper
• Generalized machine learning models to predict significant wave height utilizing wind and atmospheric parameters

  2024cites this paper
• Automobile-Demand Forecasting Based on Trend Extrapolation and Causality Analysis

  2024cites this paper
• An Intelligent Vehicle Price Estimation Approach Using a Deep Neural Network Model

  2024cites this paper
• Car Recommendation System

  2024cites this paper
• Application of Used Car Price Predictor in Indonesia Along with Machine Learning Model Comparison and SMOTE

  2024cites this paper
• Could regression of stationary series be spurious?

  2024cites this paper
• Sales Forecasting for Retail Business using XGBoost Algorithm

  2024cites this paper
• Perbandingan Random Search dan Algoritma Genetika dalam Penyetelan Hyperparameter XGBoost pada Retail Sales Forecasting

  2024cites this paper
• A Comprehensive Study of Data Analytic Techniques for Sales Forecasting

  2023cites this paper
• Breast Cancer Classification Using an Extreme Gradient Boosting Model with F-Score Feature Selection Technique

  2023cites this paper
• Using machine learning methods to predict electric vehicles penetration in the automotive market

  2023cites this paper
• Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data

  2023cites this paper
• Carbon quota allocation modeling framework in the automotive industry based on repeated game theory: A case study of ten Chinese automotive enterprises

  2023cites this paper
• A Dynamic Systems Model for an Economic Evaluation of Sales Forecasting Methods

  2023cites this paper
• Sales Volume Forecast of Typical Auto Parts Based on BiGRU: A Case Study

  2023cites this paper
• A DeepFM-Based Non-Parametric Model Enabled Big Data Platform for Predicting Passenger Car Sales in Sustainable Way

  2023cites this paper
• Prediction of China Automobile Market Evolution Based on Univariate and Multivariate Perspectives

  2023cites this paper
• Federated Learning Approach for Analyzing Electric Vehicle Sales in the Indian Automobile Market

  2023cites this paper
• SRNI-CAR: A Comprehensive Dataset for Analyzing the Chinese Automotive Market

  2023cites this paper
• Co-Training Method Based on Semi-Decoupling Features for MOOC Learner Behavior Prediction

  2022cites this paper
• Cluster-based spatiotemporal dual self-adaptive network for short-term subway passenger flow forecasting

  2022cites this paper
• Intrusion Detection Model Using SSMOTE in Power Grid

  2022cites this paper
• Deep Security Analysis Model for Smart Grid

  2022cites this paper
• Network Security Analysis Method for Power System

  2022cites this paper
• LSTM Yöntemi ile Ekonomik Göstergeler Kullanılarak Otomobil Satış Tahmini

  2022cites this paper
• A Neural Network Model for the Relationship between Hotel Marketing Strategies and Performance Based on Nonlinear Random Matrix Theory

  2022cites this paper
• Sales Prediction Based on Machine Learning Scenarios

  2022cites this paper
• Extreme Gradient Boosting Model-based Forecasting of Big Data Online Sales Record

  2022cites this paper
• Forecasting new product demand using machine learning

  2021cites this paper
• Supply Fraud Forecasting using Decision Tree Algorithm

  2021cites this paper
• Price Prediction for Pre-Owned Cars Using Ensemble Machine Learning Techniques

  2021cites this paper
• Research on Long Short-Term Decision-Making System for Excavator Market Demand Forecasting Based on Improved Support Vector Machine

  2021cites this paper
• A SURVEY ON USED VEHICLE PRICE ESTIMATION SYSTEMS USING ARTIFICIAL INTELLIGENCE METHODS

  year unknowncites this paper