Focus and Scope

International Journal of Informatics Knowledge Pattern and Applications (IJIKPA) aims to be a premier platform for disseminating cutting-edge research and developments in the interdisciplinary fields of informatics, knowledge management, and pattern recognition. The journal seeks to bridge the gap between theory and practice by publishing high-quality research that advances the understanding and application of informatics and knowledge patterns in various domains. Scope of the Journal

  1. Knowledge Discovery and Data Mining: Research focused on methods and applications for discovering patterns and knowledge from large datasets.
  2. Machine Learning and Artificial Intelligence: Studies on developing and applying machine learning algorithms and AI systems to solve complex problems.
  3. Pattern Recognition and Computer Vision: Innovations in techniques for recognizing patterns and interpreting visual data.
  4. Big Data Analytics: Approaches and tools for processing, analyzing, and extracting insights from big data.
  5. Information Systems and Technologies: Research on designing, implementing, and evaluating information systems and technologies.
  6. Data and Knowledge Visualization: Techniques and tools for visualizing complex data and knowledge structures.
  7. Computational Intelligence: Studies on applying computational intelligence techniques, such as neural networks, fuzzy systems, and evolutionary algorithms.
  8. Applications: Practical applications of informatics and knowledge patterns in various fields, including but not limited to:
  1. Healthcare: Medical data analysis, health informatics, and bioinformatics.
  2. Finance: Financial modeling, fraud detection, and risk management.
  3. Education: E-learning systems, educational data mining, and adaptive learning technologies.
  4. Manufacturing: Smart manufacturing, industrial informatics, and process optimization.
  5. Social Networks: Analysis and modeling of social networks, social media analytics, and community detection.

Target Audience
The journal is intended for researchers, academicians, practitioners, and professionals in informatics, computer science, data science, and related disciplines interested in the latest developments and applications of knowledge patterns and informatics.


Types of Papers

  1. Original Research Articles: Comprehensive reports of original research in informatics and knowledge pattern applications.
  2. Review Articles: Critical evaluations of existing literature in a specific area, providing insights and future research directions.
  3. Case Studies: Detailed accounts of practical applications of informatics techniques and methodologies in real-world scenarios.
  4. Short Communications: Brief reports of significant research findings or novel methodologies.

By fostering the exchange of ideas and promoting interdisciplinary collaboration, JIKPA aims to significantly advance knowledge in informatics and its practical applications.