The Inside Technology Journal publishes papers on the technology, architecture and systems, algorithms, languages and programs, performance measures and methods, and applications of all aspects of information technology, computer science, and related technology. Tutorial and survey papers are intended for workers and students in the fields associated with and employing advanced technology. The journal also publishes letters to the editor, especially in areas relating to policy, succinct statements of paradoxes, intuitively puzzling results, partial results and real needs.
Published theoretical and practical papers are advanced, in-depth treatments describing new developments and new ideas. Each includes an introduction summarising prior, directly pertinent work that is useful for the reader to understand, in order to appreciate the advances being described.
The Inside Technology Journal is published Bi monthly (start in April, 2016 for the first publications).
The journal uses double blind review process through open journal system.
In every publication, the journal dedicated at least 25% slots of publication for early-mid career scientist that publish their works for pursuing their PhD or master works, still the journal will assist with the publication quality
Tracks
-
- Data and Knowledge Level Modelling
- Information Management Practices
- Knowledge Based Management Systems
- Knowledge Discovery in Data
- Data Mining
- Semantic Web Technology
- Web Analytic
- Ontology
- Data Analytic
- Data Visualisation
- Scientific Data
- Database Technology
- Spatial and Temporal Database
- Distributed Database
- Open Data
- Big Data and application
- Data and Information Security
- Process Mining
- Data and Knowledge Level Modelling
- Information Management Practices
- Knowledge Based Management Systems
- Knowledge Discovery in Data
- Data Mining
- Semantic Web Technology
- Web Analytic
- Ontology
- Data Analytic
- Data Visualization
- Database Technology
- Spatial and Temporal Database
- Distributed Database
- Open Data
- Data and Information Security
- Process Mining
Archives