Big Data Mining and Analytics

Scope & Guideline

Unlocking Insights, Transforming Data

Introduction

Delve into the academic richness of Big Data Mining and Analytics with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN-
PublisherTSINGHUA UNIV PRESS
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationBIG DATA MIN ANAL / Big Data Min. Anal.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressB605D, XUE YAN BUILDING, BEIJING 100084, PEOPLES R CHINA

Aims and Scopes

The journal 'Big Data Mining and Analytics' focuses on the intersection of big data analytics and machine learning, emphasizing innovative methodologies and applications across various domains.
  1. Big Data Analytics:
    The journal covers advanced techniques and frameworks for analyzing large and complex datasets, enabling insights in fields such as healthcare, finance, and social sciences.
  2. Machine Learning Applications:
    Research related to the application of machine learning algorithms for predictive analytics, classification, and anomaly detection across diverse sectors.
  3. Interdisciplinary Approaches:
    It promotes interdisciplinary research that combines big data with fields like genomics, environmental science, and social media analytics, fostering novel insights.
  4. Data Security and Privacy:
    The journal addresses concerns related to data security and privacy, particularly in the context of big data environments, including blockchain and differential privacy methodologies.
  5. Graph and Network Analysis:
    Focus on graph-based methods for data representation and analysis, including applications in social networks, biological networks, and financial fraud detection.
  6. Multimodal Data Integration:
    Research on techniques for integrating and analyzing multimodal data sources, enhancing predictive capabilities and insights across various applications.
The journal is actively evolving, with several emerging themes gaining prominence in recent publications.
  1. Interpretable AI and Explainability:
    There is an increasing focus on developing interpretable AI models that provide insights into their decision-making processes, particularly in critical applications like healthcare and finance.
  2. Privacy-Preserving Techniques:
    Research on privacy-preserving techniques, such as differential privacy and blockchain solutions, is gaining traction, reflecting the growing importance of data security in big data applications.
  3. Multimodal and Heterogeneous Data Fusion:
    The integration of multimodal data sources and heterogeneous information is emerging as a key theme, enabling more comprehensive analyses and insights.
  4. Graph Neural Networks (GNNs):
    The application of graph neural networks for analyzing complex relationships in data is trending, driven by the need for advanced techniques in social network analysis and fraud detection.
  5. AI and Machine Learning in Healthcare:
    There is a significant uptick in research applying AI and machine learning techniques to healthcare-related problems, including disease diagnosis and predictive modeling.
  6. Real-Time Data Analytics:
    The demand for real-time data analytics is increasing, particularly in applications like IoT and smart cities, where timely decision-making is crucial.

Declining or Waning

While the journal has a broad range of themes, certain areas have seen a decline in focus or frequency in recent publications.
  1. Traditional Statistical Methods:
    There has been a noticeable decrease in the publication of papers relying solely on traditional statistical methods for data analysis, as the field shifts towards more complex machine learning and AI approaches.
  2. Basic Data Mining Techniques:
    Basic data mining techniques such as simple clustering and association rule mining are appearing less frequently, likely due to the rise of more sophisticated methodologies and frameworks.
  3. General Surveys on Big Data:
    Surveys that provide general insights into big data without a specific focus or novel contributions are becoming less prominent, as the journal emphasizes innovative and application-driven research.
  4. Low-Dimensional Data Analysis:
    Research focused solely on low-dimensional data analysis is waning, as the emphasis shifts towards handling high-dimensional and complex data typical in big data contexts.
  5. Manual Data Processing Techniques:
    Papers discussing manual or semi-automated data processing techniques are declining, reflecting the increasing automation and sophistication of data processing methodologies.

Similar Journals

Big Data

Innovating solutions for data challenges.
Publisher: MARY ANN LIEBERT, INCISSN: 2167-6461Frequency: 6 issues/year

Big Data, an esteemed journal published by MARY ANN LIEBERT, INC, serves as a leading platform within the realms of computer science and information systems. Launched in 2013, this journal has made significant strides in shaping the discourse around the management, analysis, and applications of large-scale data. With a commendable impact factor reflected in its 2023 quartile rankings—Q1 in Information Systems and Management, and Q2 in both Computer Science Applications and Information Systems—Big Data is recognized for its quality and influence, holding a notable position in Scopus rankings. Renowned for its rigorous peer-review process, the journal welcomes original research, reviews, and discussions that address the challenges and innovations associated with big data technologies. Researchers, professionals, and students alike will find Big Data an indispensable resource that not only highlights emerging trends but also fosters collaboration and knowledge sharing within the data science community. Access options are available through institutional subscriptions and individual access, ensuring a broad dissemination of critical research findings.

Proceedings of the VLDB Endowment

Fostering excellence in computer science research.
Publisher: ASSOC COMPUTING MACHINERYISSN: 2150-8097Frequency: 13 issues/year

Proceedings of the VLDB Endowment is a prestigious academic journal published by the Association for Computing Machinery, focusing on advanced research in the field of computer science, particularly in areas related to database management, big data, and information systems. With an impressive Impact Factor reflecting its Q1 categorization in the Computer Science (miscellaneous) quartile, the journal ranks #12 out of 133 in its field according to Scopus, placing it in the 91st percentile. The journal serves as a vital platform for disseminating high-quality research findings and fostering innovation in data management technologies. The VLDB Endowment, in operation since 2008, embraces an open-access model, ensuring that valuable insights reach a broad audience, including researchers, professionals, and students who are eager to push the boundaries of knowledge in computer science. With its commitment to excellence, this journal significantly contributes to the ongoing dialogue within the global research community.

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY

Driving Excellence in Computer Science Research
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.

Internet Technology Letters

Empowering Researchers with Insights into Digital Innovations.
Publisher: JOHN WILEY & SONS LTDISSN: Frequency: 6 issues/year

Internet Technology Letters, published by John Wiley & Sons Ltd, is a dynamic and rapidly evolving journal that focuses on the innovative applications and developments within the realms of Artificial Intelligence, Computer Networks and Communications, Information Systems, and Software. With its E-ISSN 2476-1508 and a defined convergence period from 2018 to 2024, this journal seeks to address emerging trends and critical challenges confronting the digital landscape today. Recognized in the Q3 quartile range across multiple computer science categories in 2023, it serves as a valuable resource for researchers, professionals, and students seeking to advance their knowledge and stay updated on significant technological advancements. While currently not an open-access journal, Internet Technology Letters holds a prominent position on platforms like Scopus, ranked within the middle percentiles, reflecting its contribution to the academic community. The journal aims to foster connectivity between academia and industry, encouraging submissions that promote interdisciplinary collaboration and innovation. By creating a platform for sharing groundbreaking research, Internet Technology Letters plays a crucial role in shaping future technological landscapes.

International Journal of Intelligent Engineering Informatics

Pioneering Research at the Intersection of Technology and Intelligence.
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 Intelligent Systems

Charting New Frontiers in AI and Software Engineering
Publisher: DE GRUYTER POLAND SP Z O OISSN: 0334-1860Frequency: 1 issue/year

The 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.

Frontiers in Big Data

Empowering Innovation in Data Science
Publisher: FRONTIERS MEDIA SAISSN: Frequency: 1 issue/year

Frontiers in Big Data, published by Frontiers Media SA in Switzerland, is a leading open access journal that has established itself as a vital resource for scholars and practitioners in the expanding realms of artificial intelligence, computer science, and information systems since its inception in 2018. With an impressive impact factor reflected in its Q2 rankings across multiple categories, including Artificial Intelligence, Computer Science (Miscellaneous), and Information Systems, this journal serves as a pivotal platform for disseminating groundbreaking research and promoting interdisciplinary collaboration. The journal's commitment to open access ensures that high-quality research is readily accessible to a global audience, fostering the exchange of innovative ideas and advancements in big data technologies. By creating an inclusive space for diverse perspectives, Frontiers in Big Data aims to bridge the gap between theoretical research and practical application, making it an essential read for anyone invested in the future of data science.

International Journal of Distributed Systems and Technologies

Innovating Connections in Technology and Networks.
Publisher: IGI GLOBALISSN: 1947-3532Frequency: 4 issues/year

Welcome to the International Journal of Distributed Systems and Technologies, a prominent academic platform published by IGI Global dedicated to advancing the field of distributed systems and technologies. With an ISSN of 1947-3532 and an E-ISSN of 1947-3540, this journal, established in 2010 and continuing through 2024, offers a unique venue for researchers, professionals, and students to disseminate their findings in the realms of computer networks, communications, hardware, and architecture. Despite its current placement in the Q4 quartile for both computer networks and communications and hardware and architecture categories in 2023, the journal is committed to fostering innovative solutions and interdisciplinary collaboration that can drive future advancements. Although not open access, contributions to this journal not only receive rigorous peer review but also have the potential to significantly impact the community, underscored by a focus on applicable research that addresses the emerging challenges in technology. As part of a rich repository, the journal invites you to explore its latest issues and join in shaping the future of distributed systems.

Intelligent Data Analysis

Transforming Data into Knowledge for Tomorrow's Innovators
Publisher: IOS PRESSISSN: 1088-467XFrequency: 6 issues/year

Intelligent Data Analysis is a highly regarded journal published by IOS Press, specializing in the fields of Artificial Intelligence, Computer Vision, and Pattern Recognition. With its ISSN 1088-467X and E-ISSN 1571-4128, the journal has been a cornerstone of scholarly communication since its inception in 1997, serving as a vital resource for researchers, professionals, and students engaged in advancing methodologies and applications in intelligent data analysis. The journal maintains its significance with impressive Scopus ranks, indicating its notable position within the academic community. Although currently not an Open Access journal, Intelligent Data Analysis offers a wealth of insights and findings, encouraging collaboration and knowledge exchange among its readership. With an impact factor reflective of its rigorous selection processes, the journal traverses a broad range of topics, contributing to ongoing discussions and innovations in its field. As the journal looks toward shaping future research until 2024 and beyond, it remains a pivotal platform for disseminating cutting-edge research and fostering academic inquiry.

IEEE INTELLIGENT SYSTEMS

Pioneering Research in Machine Learning and Beyond
Publisher: IEEE COMPUTER SOCISSN: 1541-1672Frequency: 6 issues/year

IEEE Intelligent Systems, published by the renowned IEEE Computer Society, stands at the forefront of research in the fields of Artificial Intelligence and Computer Networks and Communications. With an impressive Q1 ranking in both categories as of 2023 and Scopus rankings placing it in the top 5% of its field, this journal not only showcases cutting-edge scientific advancements but also serves as a vital resource for practitioners, academics, and students seeking to deepen their understanding and application of intelligent systems. The journal covers a broad range of topics including machine learning, data mining, and system architectures, reflecting its commitment to addressing contemporary challenges and innovations in technology. Although it does not offer open access, the journal's research contributions are invaluable, ensuring that its readership remains engaged with the latest findings and applications in a rapidly evolving field. For those interested in submitting high-quality research or staying updated on the latest developments, IEEE Intelligent Systems represents an essential hub of knowledge.