International Information and Engineering Technology Association (IIETA)
+6
2116-7125
Bi-Monthly
1633-1311
1993
18254369306
YES
Canada
English, French
YES
Google Scholar
editor.isi@iieta.org
Ingénierie des Systèmes d’Information (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. All manuscripts should provide novel solutions to data management problems, namely, data models and performance enhancement, and demonstrate the application potential of these solutions. Moreover, all manuscripts should handle the research problems with solid empirical evidences from real-world or future applications. Systems papers must include rigorous experiment on prototype or robust simulations of real systems. Theoretical articles must have clear motivations from applications, develop innovative algorithms or extend existing solutions, and fully manifest the applicability of their ideas. The technical solutions must be explained clearly in a uniform notation, facilitating their applications beyond the research domain. The extremely complex details may be demonstrated with reference to previous studies. Focus and Scope 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
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