Aims and scope

The ISI is a top-rated international journal devoted to publishing the most innovative models, algorithms, software and hardware for information systems. The subject areas mainly include data management issues and data-related issues in the following fields: data mining, data management, information retrieval, process management, machine learning, scientific computing, data science and audiovisual information systems. We welcome implementation articles that deal with fault detection and tolerance, parallel and distributed data management, as well as general or special purpose hardware for data-intensive systems. We also welcome manuscripts from application domains like cloud platform, Internet of Things (IoT), and peer-to-peer environment. Contributions from industrial enterprises are also welcome.

The ISI welcomes original research papers, technical notes and review articles on various disciplines, including but not limited to:

  • Data mining
  • Data management
  • Information retrieval
  • Process management
  • Machine learning
  • Scientific computing
  • Data science
  • Audiovisual information systems
  • Fault detection
  • Fault tolerance
  • Parallel data management
  • Distributed data management
  • General purpose hardware
  • Special purpose hardware
  • Cloud platform
  • Internet of Things (IoT)
  • Peer-to-peer environment