Intelligent Data Analysis

Scope & Guideline

Unlocking Insights Through Intelligent Data Exploration

Introduction

Welcome to the Intelligent Data Analysis 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 Intelligent Data Analysis, 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
ISSN1088-467x
PublisherIOS PRESS
Support Open AccessNo
CountryNetherlands
TypeJournal
Convergefrom 1997 to 2024
AbbreviationINTELL DATA ANAL / Intell. Data Anal.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressNIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal "Intelligent Data Analysis" focuses on the intersection of data analysis and intelligent systems, emphasizing the development and application of advanced computational techniques to solve complex problems across various domains. The journal's core areas reflect a commitment to innovative methodologies and practical applications in data science.
  1. Machine Learning and Artificial Intelligence:
    The journal publishes research on machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques, highlighting their applications across diverse fields such as healthcare, finance, and social networks.
  2. Data Mining and Knowledge Discovery:
    A significant focus is placed on data mining techniques aimed at discovering patterns, trends, and insights from large datasets, with methodologies including clustering, classification, and association rule mining.
  3. Big Data Analytics:
    Papers often explore the challenges and solutions related to processing and analyzing big data, including the use of distributed computing and advanced statistical methods to derive meaningful insights.
  4. Predictive Analytics and Decision Support Systems:
    Research includes the development of predictive models and decision support systems that leverage historical data to inform future actions, particularly in domains such as healthcare, finance, and urban planning.
  5. Graph and Network Analysis:
    The analysis of complex networks and relationships, including social networks, biological networks, and transportation systems, is a recurring theme, employing graph theory and network-based algorithms.
  6. Natural Language Processing and Text Mining:
    The journal covers advancements in natural language processing (NLP), focusing on techniques for text classification, sentiment analysis, and information extraction from unstructured data.
  7. Time Series Analysis and Forecasting:
    Research on methodologies for time series forecasting and anomaly detection is prevalent, addressing applications in finance, healthcare monitoring, and environmental data.
The journal has recently seen a shift towards several trending and emerging themes that reflect the current landscape of data analysis and intelligent systems. This section highlights those themes that are gaining traction among researchers.
  1. Deep Learning Approaches:
    There is a significant increase in publications leveraging deep learning techniques, particularly in areas such as image processing, natural language processing, and time series forecasting, showcasing their effectiveness in handling complex data.
  2. Explainable AI (XAI):
    The growing demand for transparency in AI models has led to an increase in research focused on explainable AI, aiming to make machine learning models interpretable and understandable to users.
  3. Federated Learning and Privacy-Preserving Techniques:
    Emerging themes include federated learning and other privacy-preserving techniques, which are essential for analyzing sensitive data while maintaining user privacy.
  4. Transfer Learning and Domain Adaptation:
    Research on transfer learning and domain adaptation techniques is gaining traction, particularly in scenarios where labeled data is scarce, allowing for knowledge transfer from related domains.
  5. Integration of IoT and Data Analytics:
    The intersection of Internet of Things (IoT) technology and data analytics is a rising theme, focusing on real-time data processing and analysis from connected devices for smart applications.
  6. Anomaly Detection and Predictive Maintenance:
    There is an increasing focus on anomaly detection techniques, particularly in industrial applications, where predictive maintenance is critical for operational efficiency.

Declining or Waning

While "Intelligent Data Analysis" continues to evolve, some themes have shown signs of declining prominence in recent years. This section identifies those areas that seem to be receiving less attention in the journal's publications.
  1. Traditional Statistical Methods:
    There has been a noticeable decrease in the publication of papers focused on traditional statistical techniques, as the field shifts towards more complex machine learning and deep learning methodologies.
  2. Rule-Based Systems:
    Research centered on rule-based approaches for data analysis is becoming less prevalent, with a growing preference for data-driven methods that leverage learning algorithms.
  3. Basic Data Visualization Techniques:
    Papers that primarily focus on basic data visualization techniques without integrating them into more complex analytical frameworks are appearing less frequently.
  4. Classical Optimization Algorithms:
    There is a waning interest in classical optimization algorithms in favor of more sophisticated metaheuristic and evolutionary algorithms that offer better performance in complex scenarios.
  5. Static Data Analysis:
    The focus on static data analysis methods is declining as dynamic and real-time data processing becomes more critical in applications across various domains.

Similar Journals

International Journal of Computing Science and Mathematics

Empowering Research in Computing Science and Mathematics
Publisher: INDERSCIENCE ENTERPRISES LTDISSN: 1752-5055Frequency: 6 issues/year

The International Journal of Computing Science and Mathematics, published by INDERSCIENCE ENTERPRISES LTD, is a pivotal platform for the dissemination of cutting-edge research in the intertwined disciplines of computing science and mathematics. With an ISSN of 1752-5055 and an E-ISSN of 1752-5063, the journal primarily serves the academic community engaged in applied mathematics, computational mathematics, theoretical computer science, and more, making significant contributions that resonate across various fields of technology and science. While the journal is currently categorized in the Q4 quartile for multiple related fields, including Applied Mathematics and Computational Theory, it continues to strive towards advancing the knowledge and practice within these areas. Spanning years from 2007 to 2010 and again from 2012 to 2024, the journal seeks to publish high-quality, peer-reviewed articles that not only address theoretical advancements but also explore practical applications of computing science in mathematical contexts, thereby fostering collaboration among researchers, professionals, and students alike. Please note that this journal is not available as Open Access, thus ensuring a curated content selection intended for dedicated research communities.

Data Technologies and Applications

Elevating Research Standards in Information Technologies
Publisher: EMERALD GROUP PUBLISHING LTDISSN: 2514-9288Frequency: 4 issues/year

Data Technologies and Applications is a leading academic journal published by Emerald Group Publishing Ltd, captivating the interest of researchers, professionals, and students alike within the dynamic fields of Information Systems and Library and Information Sciences. With its ISSN 2514-9288 and E-ISSN 2514-9318, this journal holds a commendable Q2 ranking in Library and Information Sciences and a Q3 ranking in Information Systems as of 2023, reflecting its impact and contribution to ongoing discourse in these disciplines. Operating with an open access model, it provides a platform for accessing high-quality research that encompasses innovative methodologies and applications of data technologies. The journal's scope includes interdisciplinary studies that leverage data to enhance decision-making, improve information retrieval, and foster technological convergence. Housed in the United Kingdom, the journal facilitated its first publication in 2018, with a commitment to fostering valuable academic conversations through to 2024 and beyond. Engage with insightful research that shapes the future of data technologies and applications, making this journal an essential resource for anyone invested in the advancement of knowledge in these pivotal fields.

Frontiers in Big Data

Bridging Theory and Practice in Big Data Technologies
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.

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY

Exploring Innovations in Computational Theory and Practice
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.

DATA MINING AND KNOWLEDGE DISCOVERY

Connecting Theory with Practice in Data-Driven Solutions
Publisher: SPRINGERISSN: 1384-5810Frequency: 6 issues/year

DATA MINING AND KNOWLEDGE DISCOVERY, published by Springer, stands as a premier journal within the realms of Computer Networks and Communications, Computer Science Applications, and Information Systems. With an impressive impact factor and a notable presence in various rankings—achieving the Q1 category in 2023—we invite researchers, professionals, and students alike to explore cutting-edge methodologies and innovative applications in data mining. Established in 1997 and continuing its journey through to 2024, the journal not only contributes significantly to the advancement of knowledge in computational techniques but also fosters an understanding of the complex interrelations in data systems. Though not an open access publication, it offers a wealth of insights crucial for driving advancements in technology and analytics. Based in Dordrecht, Netherlands, the journal remains dedicated to disseminating high-quality research and is essential reading for anyone engaged in the ever-evolving field of data science.

ACM Transactions on Intelligent Systems and Technology

Connecting Innovators in Intelligent Systems and Technology
Publisher: ASSOC COMPUTING MACHINERYISSN: 2157-6904Frequency: 6 issues/year

ACM Transactions on Intelligent Systems and Technology, published by the Association for Computing Machinery (ACM), is a leading peer-reviewed journal dedicated to the rapid dissemination of innovative research in the fields of Artificial Intelligence and Theoretical Computer Science. With an impressive Impact Factor and a strong H-Index, it boasts a premier standing in the academic community, being ranked Q1 in both AI and Theoretical Computer Science categories as of 2023. This journal serves as a critical platform for researchers, professionals, and students aiming to contribute to and stay informed about the latest developments in intelligent systems and technology. While there are currently no open-access options, readers can explore invaluable insights into current trends and methodologies from 2010 to 2024, making it an essential resource for anyone passionate about advancing their knowledge in these rapidly evolving domains. The journal continues to foster collaboration and innovation, reflecting the forefront of research where technology intersects with intelligent systems.

SOFT COMPUTING

Unleashing the Power of Genetic Algorithms and Beyond
Publisher: SPRINGERISSN: 1432-7643Frequency: 12 issues/year

SOFT 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.

IEEE INTELLIGENT SYSTEMS

Navigating the Frontiers of Intelligent Solutions
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.

International Journal of Data Mining Modelling and Management

Navigating the Evolving Landscape of Data Mining
Publisher: INDERSCIENCE ENTERPRISES LTDISSN: 1759-1163Frequency: 4 issues/year

International 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.

International Journal of Intelligent Engineering Informatics

Navigating the Frontiers of Computer Science and AI.
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.