International Journal of Data Mining and Bioinformatics

Scope & Guideline

Unraveling Complexities with Data-Driven Biological Research.

Introduction

Welcome to the International Journal of Data Mining and Bioinformatics information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of International Journal of Data Mining and Bioinformatics, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1748-5673
PublisherINDERSCIENCE ENTERPRISES LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2006 to 2024
AbbreviationINT J DATA MIN BIOIN / Int. J. Data Min. Bioinform.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressWORLD TRADE CENTER BLDG, 29 ROUTE DE PRE-BOIS, CASE POSTALE 856, CH-1215 GENEVA, SWITZERLAND

Aims and Scopes

The International Journal of Data Mining and Bioinformatics focuses on the intersection of data mining techniques and bioinformatics, providing a platform for innovative research that applies computational methodologies to biological data. The journal aims to advance the understanding and application of data mining in various fields, particularly in health, finance, and resource management.
  1. Data Mining Techniques and Applications:
    The journal extensively covers a variety of data mining methods and their applications across different domains, emphasizing the use of artificial intelligence and machine learning in extracting valuable insights from large datasets.
  2. Bioinformatics Innovations:
    It focuses on advancements in bioinformatics, exploring computational approaches to analyze biological data, such as genomics, proteomics, and pharmacology, to enhance understanding of biological processes and disease mechanisms.
  3. Interdisciplinary Research:
    The journal promotes interdisciplinary research that integrates data science with fields like healthcare, environmental science, and economics, showcasing how data-driven approaches can address complex real-world problems.
  4. Emerging Technologies in Data Science:
    The journal highlights the role of emerging technologies, such as blockchain, edge computing, and IoT, in transforming data management and analysis, thereby improving efficiency and security in various applications.
  5. Educational and Organizational Applications:
    It also examines the application of data mining in educational settings and organizational decision-making, focusing on optimizing processes and enhancing learning experiences through data insights.
The journal has shown a dynamic evolution in its focus areas, highlighting several emerging themes that are gaining traction in recent years. These trends reflect the ongoing advancements in technology and the growing need for innovative solutions in various fields.
  1. Artificial Intelligence and Machine Learning:
    There is a significant increase in research applying AI and machine learning techniques to various domains, particularly in healthcare and finance, indicating a growing reliance on these technologies for data analysis and decision-making.
  2. Big Data Analytics:
    The emphasis on big data analytics has risen, with numerous studies dedicated to leveraging large datasets for insights in areas such as health security, disaster management, and consumer behavior.
  3. Digital Economy Applications:
    Research exploring the implications of the digital economy on business processes, such as e-commerce and financial management, is emerging as a key focus, reflecting the transformative impact of digital technologies.
  4. Integration of IoT and Data Mining:
    There is a growing trend in integrating IoT with data mining techniques, particularly for optimizing logistics and supply chain management, showcasing the importance of real-time data analysis.
  5. Network Pharmacology and Drug Development:
    The exploration of network pharmacology in drug discovery and disease treatment is becoming increasingly relevant, highlighting its potential to uncover complex biological interactions and therapeutic targets.

Declining or Waning

While the journal has seen a broad range of topics, certain themes appear to be diminishing in frequency or relevance. This decline may reflect shifts in research focus or advancements in technology that render previous methodologies less prominent.
  1. Traditional Statistical Methods:
    There seems to be a decline in the publication of papers focusing solely on traditional statistical methods for data analysis. As machine learning and AI techniques gain traction, the reliance on conventional statistics is waning.
  2. Basic Bioinformatics Tools:
    The exploration of basic bioinformatics tools and techniques has decreased, possibly due to the emergence of more sophisticated methods and frameworks that provide enhanced capabilities for data analysis and interpretation.
  3. Single-Domain Focus Studies:
    Research that focuses on single-domain applications of data mining, especially those that do not integrate interdisciplinary approaches, is less frequently seen, indicating a shift towards more complex, multi-faceted research questions.
  4. Manual Data Processing Techniques:
    Papers that emphasize manual or semi-automated data processing methods are becoming less common as the field moves towards fully automated solutions powered by artificial intelligence and machine learning.
  5. Low-Impact Case Studies:
    There is a noticeable decline in low-impact case studies that do not contribute significantly to theoretical advancements or practical applications, reflecting a trend towards more impactful and innovative research.

Similar Journals

Journal of Integrative Bioinformatics

Catalyzing Discoveries at the Intersection of Biology and Computing
Publisher: WALTER DE GRUYTER GMBHISSN: Frequency: 1 issue/year

Journal of Integrative Bioinformatics, published by WALTER DE GRUYTER GMBH, is a leading open-access journal that has been at the forefront of the field since its inception in 2004. With an E-ISSN of 1613-4516, it serves as a crucial platform for researchers engaged in the interdisciplinary study of bioinformatics, blending insights from biology, computer science, and mathematics. Based in Germany, the journal is recognized for its impact in the realm of general medicine, boasting a Scopus rank of #172 out of 636 and placing in the 73rd percentile of its category. The journal continuously strives to disseminate high-quality research contributions that unify experimental and computational approaches to address complex biomedical questions. Targeted towards academics, professionals, and students alike, the Journal of Integrative Bioinformatics provides essential access to innovative research that enhances our understanding of integrative methodologies in medicine and beyond, especially with converged years spanning from 2008 to 2024.

International Journal of Intelligent Engineering Informatics

Advancing the Future of Intelligent Engineering.
Publisher: INDERSCIENCE ENTERPRISES LTDISSN: 1758-8715Frequency: 4 issues/year

International Journal of Intelligent Engineering Informatics, published by INDERSCIENCE ENTERPRISES LTD, stands at the forefront of research in the interdisciplinary domains of computer science, artificial intelligence, and human-computer interaction. With an ISSN of 1758-8715 and E-ISSN of 1758-8723, this journal serves as a vital resource for researchers and professionals seeking to explore the latest advancements in intelligent engineering and informatics techniques crucial for the evolution of modern technologies. Although currently not an open-access publication, it provides a necessary platform for disseminating high-quality research; its impact factor continues to grow, attracting a diverse readership interested in signal processing, software development, and computer vision. Covering innovative topics from 2022 to 2024, the journal is committed to fostering scholarly dialogue that paves the way for emerging trends and applications in the field, ensuring its relevance and significance in today's rapidly advancing technological landscape.

JOURNAL OF UNIVERSAL COMPUTER SCIENCE

Empowering scholars with open access to cutting-edge research.
Publisher: GRAZ UNIV TECHNOLGOY, INST INFORMATION SYSTEMS COMPUTER MEDIA-IICMISSN: 0948-695XFrequency: 12 issues/year

JOURNAL OF UNIVERSAL COMPUTER SCIENCE, published by Graz University of Technology's Institute for Information Systems and Computer Media (IICM), stands as a pivotal resource in the field of computer science. Since its inception in 1994, this Open Access Journal has fostered a culture of knowledge sharing and collaboration, allowing readers from all corners of the globe to access cutting-edge research without barriers. With an impressive convergence of studies spanning from 1996 to 2024, the journal covers a breadth of topics within Computer Science, achieving a Q3 ranking in miscellaneous areas and a Q4 ranking in theoretical computer science as of 2023. It also holds significant standing in Scopus rankings, demonstrating its influence and reach among the scientific community. The journal is particularly valuable to researchers, professionals, and students eager to explore innovative ideas and techniques that push the boundaries of computer science. Based in Austria, the journal is dedicated to maintaining high standards of scholarly integrity while promoting interdisciplinary discourse and advancements in technology.

Quantitative Biology

Transforming Biological Research with Mathematical Precision
Publisher: WILEYISSN: 2095-4689Frequency: 4 issues/year

Quantitative Biology is a prestigious journal published by WILEY, focusing on the interdisciplinary study of quantitative approaches in the biological sciences. With an ISSN of 2095-4689 and an E-ISSN of 2095-4697, this journal has established itself as a critical platform for researchers exploring complex biological systems through mathematical and computational methodologies. Operating out of China, Quantitative Biology significantly contributes to its field, holding a Q2 ranking in various categories, including Applied Mathematics and Biochemistry, Genetics and Molecular Biology, according to the latest Scopus rankings. These rankings reflect the journal's commitment to publishing high-quality research that employs advanced modeling and simulation techniques. The journal's impact is evident with its position in the 84th percentile for Applied Mathematics, indicating its relevance and growth in a competitive academic landscape. Although it does not currently operate under an Open Access model, the journal is pivotal for professionals and students alike, aiming to bridge the gap between mathematical theories and biological applications. Researchers are encouraged to submit their innovative findings and engage with the vibrant community dedicated to advancing the quantitative understanding of biological phenomena.

COMPUTATIONAL BIOLOGY AND CHEMISTRY

Pioneering Solutions for Tomorrow’s Biological Challenges with Computational Techniques
Publisher: ELSEVIER SCI LTDISSN: 1476-9271Frequency: 6 issues/year

COMPUTATIONAL BIOLOGY AND CHEMISTRY is a distinguished academic journal published by Elsevier Science Ltd, focusing on the dynamic intersection of computational biology, biochemistry, and chemistry. With an ISSN of 1476-9271 and an E-ISSN of 1476-928X, this journal is committed to disseminating high-quality research that employs computational techniques to solve complex biological and chemical problems. As of 2023, the journal holds a substantial impact factor reflecting its significance and rigorous peer-review process, categorized in the Q2 quartile for both Computational Mathematics and Organic Chemistry, alongside Q3 classifications in Biochemistry and Structural Biology. With a continuous publication history spanning from 2003 to 2024, it serves as a critical resource for researchers, professionals, and students alike. The journal offers various open access options, ensuring that vital research findings are accessible to a global audience, further enhancing collaboration across disciplines. Engage with cutting-edge studies and contribute to the evolving landscape of computational methodologies in the life sciences through this esteemed publication.

BIOINFORMATICS

Connecting Biology and Technology for a Sustainable Future
Publisher: OXFORD UNIV PRESSISSN: 1367-4803Frequency: 24 issues/year

BIOINFORMATICS, published by Oxford University Press, is a leading journal in the realms of biochemistry, computational mathematics, and computer science, with a notable impact factor that underscores its significance in the field. Since its inception in 1985 and continuing through its expected convergence in 2024, the journal has maintained a prestigious reputation, proudly residing in the Q1 category across multiple disciplines, including molecular biology and statistics. With a Scopus ranking placing it within the top percentiles of its categories, BIOINFORMATICS serves as an essential platform for disseminating high-quality research that advances knowledge and innovation at the intersection of biology and computational sciences. This journal not only offers both subscription and open access options, ensuring wider availability of its cutting-edge research, but it has also become a crucial resource for researchers, professionals, and students aiming to stay at the forefront of bioinformatics and related fields. Explore the latest findings and trends that define the future of biological research through this esteemed publication, any inquiries regarding the journal can be directed to its offices located at Great Clarendon St, Oxford OX2 6DP, England.

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY

Elevating Scholarly Discourse in Computer Science
Publisher: SPRINGER SINGAPORE PTE LTDISSN: 1000-9000Frequency: 6 issues/year

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, published by Springer Singapore Pte Ltd, is a pivotal platform in the rapidly evolving realms of computer science and technology. With an ISSN of 1000-9000 and an E-ISSN of 1860-4749, this journal encompasses a diverse array of topics including computational theory, hardware and architecture, software engineering, and applications of computer science. Spanning over three decades from 1986 to 2024, it boasts an impressive standing within academic circles, ranking in the Q2 quartile across several key categories and achieving notable placement in Scopus metrics. Although this journal operates under a subscription-based model, it remains a crucial resource for researchers, professionals, and students seeking to advance their knowledge and contribute to discussions in computer science. The JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY is committed to fostering innovation and scholarly communication in the field, encouraging submissions that contribute substantive advancements in theory and application.

Journal of Bioinformatics and Computational Biology

Exploring the Intersection of Biology and Computer Science
Publisher: WORLD SCIENTIFIC PUBL CO PTE LTDISSN: 0219-7200Frequency: 6 issues/year

The Journal of Bioinformatics and Computational Biology, published by WORLD SCIENTIFIC PUBL CO PTE LTD, serves as a significant platform for disseminating innovative research in the dynamic fields of bioinformatics and computational biology. With an ISSN of 0219-7200 and an E-ISSN of 1757-6334, this journal facilitates the exchange of ideas and advancements from its inception in 2003 and continues to be pivotal through 2024. Despite its classification in the lower quartiles—Q4 in Biochemistry and Q4 in Molecular Biology, along with Q3 in Computer Science Applications—the journal remains a valuable resource for researchers and students alike, as it emphasizes interdisciplinary approaches essential for tackling complex biological problems through computational methods. Located in Singapore, the journal encourages submissions of high-quality, peer-reviewed articles that offer insights into computational techniques that empower biological research. Although this journal does not offer open access options, its contributions to research are increasingly recognized across various academic platforms. As the field evolves rapidly, this journal continues to attract a growing readership, making it an essential reference point for anyone interested in the intersection of biology and computer science.

International Journal of Data Science and Analytics

Fostering Global Dialogue in Data Science Research
Publisher: SPRINGERNATUREISSN: 2364-415XFrequency: 4 issues/year

International Journal of Data Science and Analytics, published by SpringerNature, is a leading peer-reviewed journal dedicated to advancing the fields of data science and analytics. Since its inception in 2016, the journal has become an essential platform for researchers, professionals, and students, promoting the exchange of innovative ideas and cutting-edge research. With an impressive categorization in Q2 across multiple domains including Applied Mathematics, Computational Theory and Mathematics, and Information Systems, it demonstrates a notable impact within the academic community, as reflected by its high rankings in various Scopus categories. The journal emphasizes rigorous methodologies and practical applications of data science, making it a valuable resource for those seeking to enhance their understanding and application of data-driven solutions. Although it currently does not operate as an open-access journal, it is committed to disseminating high-quality research that shapes the future of analytics and computation. The journal's headquarters in Switzerland further enriches its international scope, fostering a global dialogue among scholars and practitioners alike.

Bioinformatics Advances

Innovative Insights for Computational Biology
Publisher: OXFORD UNIV PRESSISSN: Frequency: 1 issue/year

Bioinformatics Advances, published by Oxford University Press, is an esteemed academic journal that serves as a vital platform for the dissemination of innovative research in the rapidly evolving fields of bioinformatics and computational biology. With a promising E-ISSN of 2635-0041, this journal has made significant strides since its inception in 2021, achieving a commendable Q1 ranking in both the Computer Science Applications and Genetics categories, alongside respectable Q2 rankings in Molecular Biology and Structural Biology as of 2023. Though currently not an open-access publication, its critical insights cater to an audience keen on advancing knowledge and technology in genomic studies and data analytics. The journal emphasizes high-quality research and aims to facilitate the integration of computational techniques within biological sciences, making it an essential resource for researchers, professionals, and students alike who seek to stay at the forefront of bioinformatics advancements.