Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
Scope & Guideline
Bridging theory and practice in the realm of data science.
Introduction
Aims and Scopes
- Interdisciplinary Applications of Data Mining:
The journal emphasizes the application of data mining techniques across diverse fields such as healthcare, finance, and social sciences, showcasing how these methods can provide insights and solutions tailored to specific domains. - Innovative Methodologies and Techniques:
A core focus is on advancing and reviewing new methodologies in data mining, including machine learning, deep learning, and artificial intelligence, highlighting their effectiveness and potential impacts. - Knowledge Discovery Processes:
The journal explores the process of knowledge discovery from data, including methods for data preprocessing, pattern recognition, and the interpretation of results, contributing to better understanding and utilization of data. - Ethical and Privacy Considerations:
There is a consistent focus on the ethical implications and privacy concerns associated with data mining practices, especially in sensitive areas such as healthcare and personal data. - Emerging Technologies:
The journal is dedicated to exploring emerging technologies related to data mining, such as blockchain, digital twins, and quantum computing, reflecting the evolving landscape of data science.
Trending and Emerging
- Integration of AI and Machine Learning:
There is a growing emphasis on the integration of artificial intelligence and machine learning techniques in data mining applications, demonstrating their effectiveness in various fields such as healthcare, finance, and environmental science. - Healthcare Applications:
The trend of applying data mining techniques to healthcare continues to rise, with numerous studies focusing on improving patient outcomes, predictive modeling for diseases, and the use of digital health technologies. - Explainable AI (XAI):
The relevance of explainable AI is increasingly recognized, with a focus on developing methodologies that enhance the interpretability of machine learning models, especially in critical fields like healthcare and finance. - Ethical AI and Privacy Preservation:
Emerging themes around ethical AI practices and privacy-preserving data mining techniques are gaining traction, reflecting the growing concern over data privacy and ethical implications in data science. - Interdisciplinary Research:
There is a noticeable trend towards interdisciplinary research that combines data mining with fields such as social sciences, environmental studies, and engineering, highlighting the versatile applications of data mining methodologies.
Declining or Waning
- Traditional Statistical Methods:
There has been a notable decrease in the focus on conventional statistical techniques for data analysis, as newer, more sophisticated machine learning and AI methodologies gain traction. - Basic Data Mining Concepts:
Basic concepts of data mining, such as simple classification and clustering techniques, appear less frequently as the field moves towards more complex and integrated approaches. - Single-Domain Studies:
Research that focuses exclusively on single-domain applications without interdisciplinary perspectives is becoming less common, as the journal emphasizes cross-domain applications and methodologies. - Descriptive Analytics:
There is a waning interest in purely descriptive analytics, with a shift towards predictive and prescriptive analytics that leverage advanced algorithms and machine learning techniques.
Similar Journals
International Journal of Data Mining Modelling and Management
Exploring the Frontiers of Data ScienceInternational Journal of Data Mining Modelling and Management, published by InderScience Enterprises Ltd, is a prominent academic platform dedicated to the exploration and advancement of data mining techniques and their applications across various domains. Located in the picturesque environment of Geneva, Switzerland, this journal serves as a crucial resource for researchers, professionals, and students engaged in the fields of Computer Science, Management Information Systems, and Modeling and Simulation. With an ISSN of 1759-1163 and an E-ISSN of 1759-1171, the journal has steadily converged its scope from 2008 to 2024, emphasizing innovative methodologies and dynamic developments in data analytics. Although currently categorized in Q4 for several relevant fields according to 2023 quartiles, the journal is committed to elevating its impact and outreach through rigorous peer-reviewed research, making it an essential read for those aiming to stay at the forefront of data-driven decision-making and management practices. Whether you are a seasoned researcher or an eager student, the International Journal of Data Mining Modelling and Management offers invaluable insights and contributions to the evolving conversation in data science.
Journal of Intelligent Systems
Diving Deep into Intelligent Systems and SolutionsThe Journal of Intelligent Systems, published by DE GRUYTER POLAND SP Z O O, is a premier open access journal that has been at the forefront of advancements in the fields of Artificial Intelligence, Information Systems, and Software Engineering since its inception in 1991. With a commitment to disseminating high-quality research, the journal has been recognized in the 2023 category quartiles as Q3 in these critical areas, reflecting its relevance and impact in the academic community. The journal serves as a vital platform for researchers, professionals, and students interested in the evolving landscape of intelligent systems, offering insights into innovative methodologies and applications. As an open access publication since 2020, it ensures that research is readily available to a global audience, fostering collaboration and engagement within the scientific community. With a Scopus rank in the 65th to 69th percentiles across its categories, The Journal of Intelligent Systems continues to contribute significantly to the discourse on intelligent technologies and their implications for the future.
Computer Science-AGH
Exploring Diverse Dimensions of Computer ScienceComputer Science-AGH, published by the AGH University of Science & Technology Press in Poland, is an esteemed open access journal that has been disseminating high-quality research since 2004. With ISSN 1508-2806 and E-ISSN 2300-7036, this journal focuses on a diverse range of areas within the computer science discipline, including but not limited to Artificial Intelligence, Computational Theory, Computer Graphics, and Networks. While it currently holds a Q4 ranking across several categories as of 2023, it actively promotes research that contributes to the academic community's understanding and evolution in the field. The journal's commitment to open access ensures that vital research is accessible to a wider audience, fostering collaboration and innovation. With its comprehensive focus and strategic publication goals, Computer Science-AGH plays a crucial role in advancing the frontiers of computer science research and education, making it an invaluable resource for researchers, professionals, and students alike.
KNOWLEDGE AND INFORMATION SYSTEMS
Exploring the Intersection of Knowledge and TechnologyKNOWLEDGE AND INFORMATION SYSTEMS, published by SPRINGER LONDON LTD, is a distinguished journal in the field of information systems, artificial intelligence, and human-computer interaction. With its ISSN 0219-1377 and E-ISSN 0219-3116, this journal has built a robust reputation since its inception, featuring a convergence of valuable research from 2005 through 2024. Catering to a diverse academic audience, it is classified among the leading journals in its category, proudly holding a Q1 ranking in Information Systems and Q2 rankings in multiple other domains. The journal aims to publish cutting-edge research that not only advances theoretical understanding but also provides practical applications within these rapidly evolving fields. Although it is not an Open Access journal, subscribers can access a wealth of knowledge critical for researchers, practitioners, and students looking to enhance their expertise. With a 2023 Scopus rank placing it within the 66th percentile for Information Systems, KNOWLEDGE AND INFORMATION SYSTEMS is an invaluable resource for those committed to pushing the frontiers of knowledge in technology and information science.
Journal of Information Security and Applications
Empowering Innovations in Security ApplicationsJournal of Information Security and Applications, published by ELSEVIER, is a premier outlet for cutting-edge research in the field of information security and applications. With a dedicated ISSN of 2214-2126 and an E-ISSN of 2214-2134, this journal ranks impressively in the top quartile (Q1) across multiple categories as of 2023, including Computer Networks and Communications, Safety, Risk, Reliability and Quality, and Software. The journal’s notable Scopus rankings further reflect its impact, holding positions within the top 15% in several engineering and computer science areas. Spanning a converged period from 2013 to 2024, the journal aims to disseminate high-quality research findings, facilitating a vibrant platform for scholars, practitioners, and students to engage with contemporary challenges in information security. Although not an open-access journal, the knowledge shared within its pages is indispensable for those dedicated to advancing the technological and theoretical underpinnings of security measures in various applications.
International Journal of Data Mining and Bioinformatics
Pioneering Research in Data Analytics and Life Sciences.The International Journal of Data Mining and Bioinformatics, published by InderScience Enterprises Ltd, stands as a crucial platform for researchers and professionals dedicated to the intersection of data science and biological informatics. With its ISSN 1748-5673 and E-ISSN 1748-5681, this journal captures the essence of innovative research from 2006 to 2024. Though indexed in the Q4 category for Biochemistry, Genetics and Molecular Biology and Information Systems, it maintains a respectable Q3 status in Library and Information Sciences, reflecting its growing influence within the academic community. The journal also provides insightful contributions to the fields of big data analytics, machine learning, and computational biology. Although it is not currently an open-access journal, its relevance is underscored by its Scopus rankings, indicating a solid standing in the disciplines it encompasses. Researchers, students, and practitioners in data mining and bioinformatics are encouraged to explore the findings and methodologies presented, paving the way for future innovations in this dynamic field.
Big Data Mining and Analytics
Unlocking Insights, Transforming DataBig Data Mining and Analytics, published by TSINGHUA UNIVERSITY PRESS, stands at the forefront of interdisciplinary research in the fields of Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, and Information Systems. With an impressive Q1 ranking in multiple categories as of 2023, this journal serves as a critical platform for researchers and professionals eager to explore innovative techniques and methodologies related to big data analytics. Since its transition to Open Access in 2018, Big Data Mining and Analytics has aimed to increase the visibility and accessibility of its cutting-edge research, making permanent strides in the global academic landscape. Housed in Beijing, China, and actively embracing the converged years from 2018 to 2024, the journal aims to cultivate a rich discourse on emerging trends and applications, ensuring its relevance in a rapidly evolving technological environment. Join a vibrant community of scholars dedicated to advancing the frontiers of knowledge in big data.
SOFT COMPUTING
Fostering Interdisciplinary Collaboration for a Smarter FutureSOFT COMPUTING is a premier international journal published by Springer, focusing on the interdisciplinary field of soft computing, which includes areas such as fuzzy logic, neural networks, genetic algorithms, and their applications. With an ISSN of 1432-7643 and E-ISSN 1433-7479, the journal is based in Germany and contributes significantly to the advancement of knowledge in its fields, boasting an impressive Scopus ranking that places it in the top echelons of Geometry and Topology, Theoretical Computer Science, and Software categories. In the 2023 category quartiles, it has achieved Q2 rankings in multiple disciplines, reflecting its high-quality research contributions. Though not Open Access, the journal's rigor and relevance to contemporary issues make it a favored resource for researchers, professionals, and students alike. From its inception in 2000 and spanning across the years until 2024, SOFT COMPUTING continues to serve as a robust platform for innovative research and theoretical advancements, making it an essential read for anyone engaged in the rapidly evolving landscape of computational intelligence.
Big Data & Society
Innovating Research on Big Data's Societal ImplicationsBig Data & Society is a premier open-access journal published by SAGE Publications Inc, first established in 2014 in the United Kingdom. This influential journal has rapidly become a cornerstone in the landscape of big data research, with an impressive impact demonstrated by its Q1 ranking across various fields, including Communication, Computer Science Applications, Information Systems, and Library and Information Sciences. With its focus on the critical intersections between data analytics and societal implications, Big Data & Society serves as an essential platform for scholars, professionals, and students to disseminate cutting-edge research and foster discussion in these dynamic and impactful domains. Researchers benefit from its rigorous peer-review process and robust visibility, as evidenced by Scopus rankings placing it in the top percentiles across multiple categories. By upholding open-access principles, the journal ensures that scholarly work is readily available, facilitating broader engagement and knowledge transfer within the academic community and beyond.
Big Data and Cognitive Computing
Pioneering Research in Cognitive Computing and Beyond.Big Data and Cognitive Computing is a premier open-access journal published by MDPI, dedicated to advancing research in the dynamic fields of artificial intelligence, computer science, information systems, and management information systems. Since its inception in 2017, the journal has established a significant presence, reflected in its impressive categorization within the Q2 quartiles for multiple disciplines in the 2023 rankings. Situated in Switzerland, the journal provides a vital platform for researchers, professionals, and students to publish groundbreaking work and access high-quality articles, enhancing the exploration of big data applications powered by cognitive computing. With an increasing global emphasis on data-driven decision-making, Big Data and Cognitive Computing offers unrestricted access to innovative research findings, addressing both theoretical and practical aspects. The journal's contributions are integral for those looking to stay at the forefront of technological advancements and their implications across various sectors.