Forecasting Economy using Machine Learning Algorithm

T Saravanan, T Sathish… - 2022 Fourth International …, 2022 - ieeexplore.ieee.org
The generation of forecasts is without a doubt one of the most significant areas in any
sector's operations. The ability of forecasting algorithms to deliver an accurate result is …

[PDF][PDF] Walmart Data Analysis Using Machine Learning

MH Kabir, A Sobur, MR Amin - International Journal of Computer …, 2023 - researchgate.net
This data analysis project delves into the vast dataset of one of the world's largest retail
giants, Walmart, to uncover valuable insights and trends within its operations. By harnessing …

360 Retail business analytics by adopting hybrid machine learning and a business intelligence approach

A Alqhatani, MS Ashraf, J Ferzund, A Shaf, HA Abosaq… - Sustainability, 2022 - mdpi.com
Business owners and managers need strategic information to plan and execute their
decisions regarding business operations. They work in a cyclic plan of execution and …

Future sales prediction for Indian products using convolutional neural network-long short term memory

P Kaunchi, T Jadhav, Y Dandawate… - 2021 2nd Global …, 2021 - ieeexplore.ieee.org
Sales forecasting is an important aspect of modern market intelligence. A reliable revenue
forecast will help a company preserve capital on unnecessary product, prepare better for the …

Comparison of simple moving average, single and modified single exponential smoothing

MHP Swari, IPS Handika… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
Various forecasting algorithms have been investigated in various cases. Forecasting is an
important activity, especially in the sales area. Accurate sales forecasting is a support …

Sales Forecasting of Overrated Products: Fine Tuning of Customer's Rating by Integrating Sentiment Analysis

P Ghosh, O Samanta, T Goto, S Sen - IEEE Access, 2024 - ieeexplore.ieee.org
Enhancement of the profitability of any business organization is driven by proper forecasting.
However, this is challenging as many factors affect the forecasting and the degree of …

Customer Behavior Prediction for E-Commerce Sites Using Machine Learning Techniques: An Investigation

G Rajesh, SP Preethi, RS Priya, L Rajesh… - Reinventing …, 2021 - taylorfrancis.com
Every business organization depends on the intelligent decision analytical system to
analyze consumer behavior. This analysis and prediction can impact mainly the demand …

Magnitude type conversion models for earthquakes in turkey and its vicinity with machine learning algorithms

KH Coban, N Sayil - Journal of Earthquake Engineering, 2023 - Taylor & Francis
In this study, three new regression models are created for magnitude-type conversion with
different machine learning algorithms (linear regression, regression trees, support vector …

Multi-modal transform-based fusion model for new product sales forecasting

X Li, J Shen, D Wang, W Lu, Y Chen - Engineering Applications of Artificial …, 2024 - Elsevier
New product sales prediction is crucial for the digital economy as it enables businesses to
make informed decisions about product development, inventory management, marketing …

基于自回归神经网络的多维时间序列分析.

邱玉祥, 蔡艳, 陈霖, 万明… - Journal of Jilin University …, 2022 - search.ebscohost.com
针对多维时间序列分析传统方法多数需要依靠手动建立时间依赖关系探索历史数据中隐含规律
的问题, 提出一种自回归神经网络方法. 首先, 通过卷积神经网络(CNN) 和双向长短期记忆网络 …