Scientific Programming

Data-Driven Decision Making in Business Intelligence


Publishing date
01 Mar 2023
Status
Closed
Submission deadline
11 Nov 2022

Lead Editor

1China University of Petroleum, Qingdao, China

2University of Cincinnati, Cincinnati, USA

3Beijing University of Chemical Technology, Beijing, China

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

Data-Driven Decision Making in Business Intelligence

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

Description

Business intelligence can help enterprises manage huge amount of data by extracting, cleaning, integrating, querying and analyzing data, and issuing reports, etc., in order to get valuable comprehensive information to assist in making decisions. It is a kind of data-driven intelligent management tool. Due to the value of data-driven decision making in business intelligence, it has received widespread attention from the corporate and academic communities and has been widely used in research in the fields of customer relationship management, finance, supply chain, and other industries such as finance and energy.

In the era of big data, enterprises will generate a large amount of valuable information in all aspects of management and operation, and how they use that data and turn it into valuable information becomes a decisive factor for enterprises to lead the market. However, traditional data analysis methods cannot effectively use data statistically, resulting in a huge waste of resources. Business intelligence provides management and other stakeholders with information relevant to actions and decisions through advanced information technology such as data mining, data warehousing, and online analytical processing. At present, business intelligence systems often suffer from poor portability and integration and lack scalability and flexibility. With the development of various technologies, the continuous expansion of software scale and its increasing complexity, the research on business intelligence-related issues has become more and more urgent.

This Special Issue will focus on research targeting the data-driven business intelligence applications and information technology, and provide readers with high-quality contributions exploring and discussing the development and optimization of business intelligence systems, innovation, and cutting-edge applications of information technology. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

  • Scientific programming methods and models for data-driven decision-making
  • Analysis of data-driven decision making from mathematical programming perspective (fuzzy programming, interval programming, stochastic programming, etc.)
  • Interactive multi-objective dynamic programming decision approach
  • Interactive data exploration
  • Data analysis for decision support
  • Business intelligence system design
  • Application optimization of business intelligence
  • Intelligent optimization models and algorithms for business intelligence
  • Scientific programming for business intelligence visualization and representation
  • Application and development of data mining models
  • Machine and/or deep learning algorithms and applications in business intelligence
  • Mining methods and algorithms (classification, regression, clustering, probabilistic modelling)
  • Intelligent text mining model using deep neural networks
  • Large-scale classification algorithms and large-scale clustering algorithms with application in business intelligence

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 9343954
  • - Research Article

A Fuzzy Comprehensive Evaluation Method on the Construction of High-Level Universities Based on Data from Jiangsu Province

Suoming Huang | Yuhao Wang | Tingqiang Chen
  • Special Issue
  • - Volume 2022
  • - Article ID 4414093
  • - Research Article

Substation Equipment Temperature Prediction Method considering Local Spatiotemporal Relationship

Lijie Sun | Shuang Chen | ... | Jianhua Li
  • Special Issue
  • - Volume 2022
  • - Article ID 6446903
  • - Research Article

An Orthogonal Matching Pursuit Variable Screening Algorithm for High-Dimensional Linear Regression Models

Yanxi Xie | Yuewen Li | ... | Quan Lu
  • Special Issue
  • - Volume 2022
  • - Article ID 1549899
  • - Research Article

User-Characteristic-Oriented Bilateral Matching between Online Learning Service Demanders and Providers

Qirui Wu | Wenbo Zhang | ... | Xi Chen
  • Special Issue
  • - Volume 2022
  • - Article ID 3946744
  • - Research Article

Optimization and Benefit Analysis of Intelligent Networked Vehicle Supply Chain Based on Stackelberg Algorithms

Cheng Che | Xin Geng | ... | Xiaoguang Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 2725113
  • - Research Article

Revealing the Pattern of Causality in Processes of Urbanization and Economic Growth: An Evidence from China

Huaxia Lv | Xiaojing Zheng | Shuang Chen
  • Special Issue
  • - Volume 2022
  • - Article ID 9616454
  • - Research Article

Design and Numerical Simulation of an Odometer Wheel Used in an Ultrasonic In-Line Inspection Tool

Liangxue Cai | Liang Guan | ... | Guangli Xu
Scientific Programming
 Journal metrics
See full report
Acceptance rate50%
Submission to final decision42 days
Acceptance to publication25 days
CiteScore1.100
Journal Citation Indicator0.450
Impact Factor1.672
 Submit

Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.