Focus and Scope

Aims
Transaction on Informatics and Data Science aims to advance the frontiers of informatics and data science knowledge by publishing high-quality research that encompasses theoretical advancements and practical applications. The journal seeks to contribute significantly to the understanding and developing of innovative approaches, methodologies, and technologies in these domains.

Scopes
The scope of "Transaction on Informatics and Data Science" covers a wide range of topics related to informatics and data science, including but not limited to:

- Data analysis and mining
- Artificial intelligence and machine learning
- Natural language processing and understanding
- Cloud computing and big data technologies
- Information retrieval and knowledge management
- Data-driven decision-making and predictive modelling
- Internet of Things (IoT) and data analytics
- Cybersecurity and privacy in data science
- Informatics and data science applications in various healthcare, finance, education, and other domains.

The journal welcomes original research articles, reviews, case studies, and technical notes that contribute significantly to advancing knowledge and practice in informatics and data science. Submissions should demonstrate novelty, tightness, and relevance to the rapidly evolving landscape of information technology and data-driven decision-making processes.