International Journal of Intelligent Information and Database Systems Inderscience Publishers Impact Factor

International Journal of Intelligent Information and Database Systems - Inderscience | 2024 Cite Score:2.8 | Q4

International Journal of Intelligent Information and Database Systems With Cite Score

Cite Score and Journal Rank of International Journal of Intelligent Information and Database Systems

About: International Journal of Intelligent Information and Database Systems (IJIIDS) is a peer-reviewed academic journal that focuses on research related to intelligent information systems and database management. The journal publishes high-quality articles on the latest advancements and applications in these fields.
Objective: The primary objective of International Journal of Intelligent Information and Database Systems is to advance the field of intelligent information systems and database technologies. It covers a wide range of topics, including but not limited to intelligent data processing, knowledge management, data mining, database design and optimization, machine learning, and artificial intelligence. The journal aims to provide a platform for researchers and practitioners to share their findings, methodologies, and applications in these areas.
Interdisciplinary Approach: The journal adopts an interdisciplinary approach by integrating research from various fields related to information systems and database technologies. This includes computer science, information technology, artificial intelligence, and data science. By bridging multiple disciplines, the journal facilitates a comprehensive exploration of how intelligent information systems and database methods can be applied to solve complex problems across different domains. Contributions that offer novel insights or combine techniques from multiple areas are particularly encouraged.
Impact and Significance: International Journal of Intelligent Information and Database Systems has a significant impact on both academic and professional communities involved in information systems and database management. The research published in the journal provides valuable contributions by presenting new theories, algorithms, and applications that address contemporary challenges in these fields. It serves as an essential resource for researchers, data scientists, IT professionals, and practitioners who are engaged in developing and applying advanced information and database technologies.

Journal Home: Journal Homepage

Editor-in-Chief: Dr. Adrianna Kozierkiewicz

Scope: The International Journal of Intelligent Information and Database Systems focuses on research and advancements in intelligent information systems and database management. Its scope includes:
1. Intelligent Information Systems: Research on intelligent systems that use artificial intelligence techniques to manage, retrieve, and analyze information. This includes knowledge-based systems, expert systems, and decision support systems.
2. Database Design and Management: Studies on the design, development, and management of databases, including database architectures, schema design, and data normalization.
3. Data Mining and Knowledge Discovery: Exploration of techniques for extracting useful patterns and knowledge from large datasets, including clustering, classification, and association rule mining.
4. Data Warehousing: Research on data warehousing concepts and techniques, including data integration, ETL (extract, transform, load) processes, and multidimensional data modeling.
5. Big Data Analytics: Studies on methods and technologies for analyzing and managing large-scale data, including distributed computing, cloud-based solutions, and big data frameworks.
6. Information Retrieval: Exploration of techniques for retrieving relevant information from large databases and the web, including search engines, ranking algorithms, and query optimization.
7. Semantic Web and Ontologies: Research on semantic technologies and ontologies for enhancing the interoperability and meaning of information on the web, including knowledge representation and reasoning.
8. Database Security and Privacy: Studies on ensuring the security and privacy of database systems, including access control, encryption, and privacy-preserving data management.
9. Intelligent Data Management: Exploration of intelligent techniques for managing data, including automated data cleaning, data quality assurance, and data governance.
10. Advanced Query Processing: Research on advanced query processing techniques, including query optimization, distributed querying, and real-time data processing.
11. Data Integration and Federation: Studies on methods for integrating and federating data from heterogeneous sources to provide a unified view of information.
12. Machine Learning and Artificial Intelligence: Exploration of machine learning and AI techniques applied to database systems and information management, including supervised learning, unsupervised learning, and reinforcement learning.
13. Information Systems Architecture: Research on the architecture of information systems, including system design, component integration, and service-oriented architecture.
14. Computational Intelligence: Studies on computational intelligence methods, including neural networks, fuzzy systems, and evolutionary algorithms applied to information and database systems.
15. Cloud Databases: Exploration of cloud-based database solutions, including cloud storage, cloud-based data processing, and the impact of cloud computing on database management.