Mathematical Problems in Engineering

Big Data Modelling of Engineering and Management

Publishing date
01 Jan 2021
Submission deadline
21 Aug 2020

Lead Editor

1Guangdong University of Foreign Studies, Guangzhou, China

2Macau University of Science and Technology, Cotai, Macau

3National Taiwan University of Science and Technology, Taipei, Taiwan

4Zhejiang University, Hangzhou, China

This issue is now closed for submissions.
More articles will be published in the near future.

Big Data Modelling of Engineering and Management

This issue is now closed for submissions.
More articles will be published in the near future.


Big data is a collection of data that cannot be captured, managed, and processed by conventional software tools in a certain period of time. It is a massive, high growth rate and diversified information asset that needs new processing mode to have stronger decision-making power, insight, and discovery power as well as process optimization ability.

Generally speaking, big data analysis can be carried out through several methods, such as web crawlers, databases and data warehouses, analysis, visualization, and big data mining algorithms. Among them, web crawlers are a popular analysis technology in recent years. They can extract numerical value or text data from a web page and format it into analysis data. In addition to using Python language, this technology can also be implemented by some software packages. Big data mining algorithms needs to deal with a large number of data. And the speed of dealing is also considered. These algorithms include optimization technology (such as Gradient Descent Algorithm, Particle Swarm Optimization Algorithm, etc.), mathematical modeling or other prediction technology (such as Neural Network, Bayesian Classification, Rough Set, Decision Tree, etc.), decision analysis technology (such as Grey Decision, Multi Criteria Decision, etc.), Performance evaluation technology (such as Data Envelopment Analysis, Fuzzy Comprehensive Evaluation, etc.). Because these data mining algorithms have been rarely studied together with big data in the past, especially applied to engineering problems, there are great challenges when applying these data mining algorithms to the area of big data.

The purpose of this Special Issue is to collate original research and review articles with a focus on the combination of big data and data mining technology to solve the challenges of applying data mining algorithms to big data problems. The issues involved include big data, mathematical modeling and various data mining algorithms, which are applied in different fields such as engineering and management.

Potential topics include but are not limited to the following:

  • Information and network theorem
  • Algorithm model of Internet of things based on AI
  • Mathematical function of objective programming
  • Production and operation function models
  • Quality control and fuzzy evaluation
  • Multi criteria decision making and fuzzy evaluation
  • Differential equation and prediction
  • Capital asset pricing models
  • Social network models
  • Other computing methods (e.g., rough set or chaos theory) related to engineering and management
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
Journal Citation Indicator0.400
Impact Factor1.305

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.