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.
Journal Home:  Journal Homepage
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.
Print ISSN:  1748-5673
Electronic ISSN:  1748-5681
Abstracting and Indexing:  Scopus, SCIE
Imapct Factor 2023:  0.2
Subject Area and Category:  Biochemistry, Genetics and Molecular Biology Computer Science,Social Sciences
Publication Frequency:  
H Index:  25
Q1:  
Q2:  
Q3:  Library and Information Sciences
Q4:  
Cite Score:  1.0
SNIP:  0.095
Journal Rank(SJR):  0.173
Latest Articles:   Latest Articles in International Journal of Data Mining and Bioinformatics
Guidelines for Authors: International Journal of Data Mining and Bioinformatics Author Guidelines
Paper Submissions: Paper Submissions in International Journal of Data Mining and Bioinformatics
Publisher:  Inderscience Publishers
Country:  United Kingdom