Aim and Scope

JISDI publishes high-quality, peer-reviewed research in the fields of Information Systems and Data Intelligence with a strong emphasis on theoretical advancement, methodological innovation, system design and development, and empirical evaluation of digital and intelligent computing solutions. The journal aims to disseminate research that contributes to the design, analysis, implementation, and evaluation of data-driven, intelligent, machine learning, data science, statistics, applied mathematics, optimization and applications in information sciences

 

Scope of the Journal

The scope of the journal includes, but is not limited to, the following research areas and subject categories:

 

The scope of the journal includes, but is not limited to, the following research areas and subject categories:

  1. Information Systems and Digital Transformation
    (Subject Area: Computer Science – Information Systems; Decision Sciences – Information Systems)

·       Information Systems and Strategic Information Systems

·       Decision Support Systems and Intelligent Decision-Making Systems

·       E-Government, Smart City, and Public Information Systems

·       Digital Business, E-Commerce, and Technopreneurship

·       Risk Management and Customer Relationship Management Systems

  1. Software Engineering and Application Development
    (Subject Area: Computer Science – Software)

·       Software Engineering Methods, Models, and Practices

·       Web-based, Mobile, and Enterprise Applications

·       Human–Computer Interaction and User-Centered Design

·       Multimedia Systems, Game Development, and Interactive Applications

·       E-Learning and Educational Information Systems

3.     Statistical theory and applications

·         Statistical computing, Simulation and Monte Carlo methods, Bootstrap, Resampling methods, Spatial Statistics, Survival Analysis, Nonparametric and Semiparametric Methods, Asymptotics, Bayesian Inference and Bayesian Optimization

·         Stochastic processes, Probability, Statistics and applications

·         Statistical methods and modeling in life sciences including biomedical sciences, environmental sciences and agriculture

·         Decision Theory, Time series analysis, High-dimensional multivariate integrals, statistical analysis in market, business, finance, insurance, economic and social science, etc

 

  1. Data, Intelligence, and Analytics
    (Subject Area: Computer Science – Information Systems; Computer Science – Artificial Intelligence)

·       Database Systems, Data Warehousing, and Data Management

·       Data Mining, Big Data Analytics, and Predictive Analytics

·       Semantic Systems and Knowledge-Based Systems

·       Expert Systems and Intelligent Information Systems

5.     Optimization methods and applications

·       Linear and nonlinear optimization

·       Stochastic optimization, Statistical optimization and Markov-chain etc.

·       Game theory, Network optimization and combinatorial optimization

·       Variational analysis, Convex optimization and nonsmooth optimization

·       Global optimization and semidefinite programming 

·       Complementarity problems and variational inequalities

·       Optimal control: theory and applications

·       Operations research, Optimization and applications in management science and engineering

 

6.     Information computing and machine intelligence

·       Machine learning, Statistical learning, Deep learning

·       Artificial intelligence, Intelligence computation, Intelligent control and optimization

·       Data mining, Data analysis, Cluster computing, Classification

·       Pattern recognition, Computer vision

·       Compressive sensing and sparse reconstruction

·       Signal and image processing, Medical imaging and analysis, Inverse problem and imaging sciences

·       Genetic algorithm, Natural language processing, Expert systems, Robotics, Information retrieval and computing

·       Numerical analysis and algorithms with applications in computer science and engineering