Journal of Function Spaces

Mathematical Modeling for Next-Generation Big Data Technologies


Publishing date
01 Mar 2023
Status
Closed
Submission deadline
14 Oct 2022

Lead Editor

1Chaohu University, Hefei, China

2University of Central Missouri, Warrensburg, USA

3Sanjiang University, Nanjing, China

4Southeast University, Nanjing, China

This issue is now closed for submissions.

Mathematical Modeling for Next-Generation Big Data Technologies

This issue is now closed for submissions.

Description

Datafication and informatization are the current major trends in economic and social development. Big data technology has a wide range of applications in the fields of industry, finance, transportation, healthcare, etc. However, the means to make full use of data to build mathematical models of practical problems is a major task of mathematical modeling in the era of big data and brings challenges to traditional mathematical modeling. With the rise of big data and deep learning, data modeling has attracted increasing attention.

Although data can be descriptive of real-world problems, it only provides a partial description unless the given data can traverse every possible scenario. However, mathematical models can accurately reflect the essential characteristics of problems and can be applied for analysis, explanation, and prediction. Data modeling methods based on big data analysis can bypass the shortcomings of traditional modeling methods that rely solely on models and hypotheses. Therefore, the relationship between data and models can be complementary, and the combination of data modeling and manual modeling by machine learning is the direction that future mathematical modeling should take.

This Special Issue aims to bring together original research and review articles in the field of mathematical modeling for next-generation big data technologies in industry, finance, transportation, education, healthcare, etc. We highly encourage submissions discussing the methods of data modeling in the big data era. Submissions can also focus on engineering, management, transportation, education, applied mathematics, etc.

Potential topics include but are not limited to the following:

  • Mathematical models for machine learning
  • Mathematical modeling in optimization calculation of chaos model of big data
  • Optimization of medical service based on multi-objective programming
  • Application of mathematical modeling in workflow management
  • Mathematical modeling and simulation analysis based on feature data classification
  • Educational evaluation based on mathematical modeling
  • Analysis of transportation network model based on mathematical modeling
  • Mathematical modeling in engineering problems
  • Analysis of financial optimization model in mathematical modeling
  • Supply chain demand forecasting modeling based on big data
  • Network public opinion analysis model based on big data

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 9814635
  • - Retraction

Retracted: Simulation of Subject Coordination for a Smart Campus Based on Complex Network and Evolutionary Game Theory

Journal of Function Spaces
  • Special Issue
  • - Volume 2023
  • - Article ID 9756926
  • - Retraction

Retracted: Mathematical Modeling of Static Data Attribute Encryption Based on Big Data Technology

Journal of Function Spaces
  • Special Issue
  • - Volume 2023
  • - Article ID 9804696
  • - Retraction

Retracted: Application of Optimized BP Neural Network In Financial Alert System

Journal of Function Spaces
  • Special Issue
  • - Volume 2023
  • - Article ID 9767353
  • - Retraction

Retracted: Analysis of the Impacts of Health Cost and Risk Preference on Farmers’ Protective Behavior of Pesticide Application Based on the Autoregressive Threshold Model: A Case Study of Wuhu City in China

Journal of Function Spaces
  • Special Issue
  • - Volume 2023
  • - Article ID 9848736
  • - Retraction

Retracted: Data Analysis of Ceramic Material Color Matching Collection Points in Furniture Design Based on the Image Difference Prediction Model

Journal of Function Spaces
  • Special Issue
  • - Volume 2023
  • - Article ID 9892643
  • - Retraction

Retracted: Prediction of Concrete Compressive Strength Based on the BP Neural Network Optimized by Random Forest and ISSA

Journal of Function Spaces
  • Special Issue
  • - Volume 2023
  • - Article ID 9898606
  • - Retraction

Retracted: Design and Communication of City Brand Image Based on Big Data and Personalized Recommendation System

Journal of Function Spaces
  • Special Issue
  • - Volume 2023
  • - Article ID 9851623
  • - Retraction

Retracted: InSAR Phase Unwrapping Algorithm Based on Deep GAN

Journal of Function Spaces
  • Special Issue
  • - Volume 2023
  • - Article ID 9768576
  • - Retraction

Retracted: Application of Swarm Intelligence Optimization Algorithm in Logistics Delivery Path Optimization under the Background of Big Data

Journal of Function Spaces
  • Special Issue
  • - Volume 2023
  • - Article ID 9756857
  • - Retraction

Retracted: Exploration and Analysis of Collaborative Matching Algorithm Empowering Large Data Fiscal Budget

Journal of Function Spaces
Journal of Function Spaces
 Journal metrics
See full report
Acceptance rate12%
Submission to final decision115 days
Acceptance to publication20 days
CiteScore2.600
Journal Citation Indicator1.430
Impact Factor1.9
 Submit Evaluate your manuscript with the free Manuscript Language Checker

We have begun to integrate the 200+ Hindawi journals into Wiley’s journal portfolio. You can find out more about how this benefits our journal communities on our FAQ.