Mathematical Problems in Engineering

Big Data Modelling of Engineering and Management


Publishing date
01 Jan 2021
Status
Closed
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.

Description

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

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 2349716
  • - Research Article

Integrating Kano Model, AHP, and QFD Methods for New Product Development Based on Text Mining, Intuitionistic Fuzzy Sets, and Customers Satisfaction

Ming Li | Jie Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 6654461
  • - Research Article

Dependence-Cognizant Locking Improvement for the Main Memory Database Systems

Ouya Pei | Zhanhuai Li | ... | Jintao Gao
  • Special Issue
  • - Volume 2021
  • - Article ID 3421478
  • - Research Article

Prediction Modelling of Cold Chain Logistics Demand Based on Data Mining Algorithm

Bo He | Lvjiang Yin
  • Special Issue
  • - Volume 2020
  • - Article ID 2343860
  • - Research Article

Study of the Influencing Factors on Development of Ports in Guangdong, Hong Kong, and Macao from the Perspective of Spatial Economics

Lianhua Liu | Hai Ping
  • Special Issue
  • - Volume 2020
  • - Article ID 4020752
  • - Research Article

A Study on the Health Output Effect of Chinese Medical Service Industry Agglomeration Based on Big Data Analysis

Yan Shu | Longxin Lin | Yueqian Hu
  • Special Issue
  • - Volume 2020
  • - Article ID 9462048
  • - Research Article

Energy Saving in Flow-Shop Scheduling Management: An Improved Multiobjective Model Based on Grey Wolf Optimization Algorithm

Lvjiang Yin | Meier Zhuang | ... | Huan Wang
  • Special Issue
  • - Volume 2020
  • - Article ID 8036154
  • - Research Article

Establishment of a Financial Crisis Early Warning System for Domestic Listed Companies Based on Three Decision Tree Models

Gang Wang | Keming Wang | ... | Xiaoyan Mo
  • Special Issue
  • - Volume 2020
  • - Article ID 7064897
  • - Research Article

Research on the Impact of Logistics Technology Progress on Employment Structure Based on DEA-Malmquist Method

Xiao-qing Lei | Jia-jia Yang | ... | Mei-er Zhuang
  • Special Issue
  • - Volume 2020
  • - Article ID 5045207
  • - Research Article

The Establishment of a Financial Crisis Early Warning System for Domestic Listed Companies Based on Two Neural Network Models in the Context of COVID-19

Feixiong-Ma | Yingying-Zhou | ... | Yiwei-Xia
  • Special Issue
  • - Volume 2020
  • - Article ID 9746153
  • - Research Article

Investment Payback Period Calculating Model for Airport Bridge Facility

Jian Wan | Zheng-hong Xia | Xin-ping Zhu
Mathematical Problems in Engineering
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Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
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Impact Factor1.305
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