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International Journal of Data Mining and Bioinformatics - Inderscience Publishers | 2024 Impact Factor:0.4 | Cite Score:0.7 | Q3

International Journal of Data Mining and Bioinformatics

Impact Factor and Journal Rank of International Journal of Data Mining and Bioinformatics

  • About: The International Journal of Data Mining and Bioinformatics is a premier academic journal focusing on the application of data mining techniques in the field of bioinformatics. It provides a platform for researchers and practitioners to publish innovative research, advancements, and practical applications in the analysis and interpretation of biological data.

    Objective
    The International Journal of Data Mining and Bioinformatics aims to advance research and development at the intersection of data mining and bioinformatics. It publishes high-quality, peer-reviewed articles that contribute to theoretical foundations, methodological advancements, and practical applications in the analysis of biological data using data mining techniques.

    Impact
    The journal seeks to make a significant impact by:

    Publishing innovative research that enhances the understanding and utilization of data mining in bioinformatics.
    Facilitating interdisciplinary collaborations among researchers in biology, computer science, and related fields.
    Providing a platform for disseminating research findings that contribute to advancements in healthcare and biological sciences.
    Influencing the development of computational tools and methodologies for analyzing biological data and improving scientific discoveries.

    Significance
    The integration of data mining techniques with bioinformatics plays a pivotal role in advancing biological research, healthcare, and personalized medicine. The International Journal of Data Mining and Bioinformatics supports this progress by fostering innovation, collaboration, and knowledge exchange among researchers globally.

  • Editor-in-Chief:  Dr. M.A. Dorgham

  • Scope: The International Journal of Data Mining and Bioinformatics (IJDMB) is a peer-reviewed academic journal that focuses on the intersection of data mining techniques and bioinformatics applications. Here is an overview of its scope and the topics typically covered:
    Data Mining Techniques:
    Classification and Clustering: Algorithms and methodologies for categorizing and grouping biological data.
    Association Rule Mining: Discovery of relationships and patterns in biological datasets.
    Text and Web Mining: Extraction and analysis of biological information from textual and web-based sources.
    Sequential Pattern Mining: Identification of sequential patterns in biological data sequences.
    Bioinformatics Applications:
    Genomics and Proteomics: Computational methods and tools for analyzing genomic and proteomic data.
    Structural Bioinformatics: Prediction and analysis of biological macromolecular structures.
    Systems Biology: Integration of computational models to study biological systems at the molecular and cellular levels.
    Biomedical Informatics: Applications of data mining in healthcare, clinical research, and personalized medicine.
    Integration of Data Mining and Bioinformatics:
    Data Integration and Warehousing: Techniques for integrating heterogeneous biological data sources.
    Visualization and Interpretation: Tools and methods for visualizing and interpreting complex biological datasets.
    Machine Learning in Bioinformatics: Applications of machine learning algorithms for predictive modeling and analysis in biological contexts.
    Ethical and Regulatory Issues:
    Privacy and Security: Challenges and solutions for protecting sensitive biological data.
    Ethical Considerations: Ethical implications of data mining techniques in bioinformatics research and applications.
  • Latest Research Topics for PhD in Computer Science
  • Latest Research Topics for PhD in Data Mining

  • Print ISSN:  1748-5673

    Electronic ISSN:  1748-5681

  • Abstracting and Indexing:  Scopus, SCIE

  • Imapct Factor 2024:  0.4

  • Subject Area and Category:  Biochemistry, Genetics and Molecular Biology Computer Science,Social Sciences

  • Publication Frequency:  

  • H Index:  26

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Library and Information Sciences

    Q4:  

  • Cite Score:  0.7

  • SNIP:  0.110

  • Journal Rank(SJR):  0.130