DATA & KNOWLEDGE ENGINEERING
Scope & Guideline
Shaping the Future of Data-Driven Research
Introduction
Aims and Scopes
- Data Engineering and Management:
Research in this area includes the development of techniques for efficient data storage, retrieval, and processing, particularly in the context of big data and NoSQL systems. - Knowledge Representation and Ontologies:
This scope covers the creation and application of ontologies for knowledge management, semantic retrieval, and data integration, facilitating better understanding and interoperability among systems. - Artificial Intelligence and Machine Learning:
Studies focus on integrating AI techniques with data engineering, including the use of machine learning algorithms for data analysis, predictive modeling, and decision support systems. - Process Modeling and Analysis:
Research in this area emphasizes the design and optimization of business processes, often utilizing data-driven approaches to enhance operational efficiency. - Data Quality and Governance:
This scope addresses methodologies for ensuring data quality, as well as frameworks for data governance, emphasizing the importance of trustworthy data in decision-making. - Big Data Analytics and Applications:
This area explores algorithms and frameworks for analyzing large datasets across various applications, aiming to extract valuable insights and knowledge.
Trending and Emerging
- Explainable AI and Interpretability:
With a growing emphasis on transparency in AI models, research focusing on explainable AI is becoming increasingly important, particularly in sensitive domains like healthcare. - Data Ecosystems and Governance:
The exploration of frameworks for managing complex data ecosystems and ensuring data governance has gained momentum, reflecting the need for robust data management practices. - Integration of AI with IoT:
As the Internet of Things (IoT) continues to expand, the integration of AI with IoT for smarter data collection and analysis is emerging as a key theme, driving innovation in various applications. - Advanced Machine Learning Techniques:
There is a notable rise in research focusing on sophisticated machine learning techniques, including deep learning and hybrid models, which are being applied to complex data challenges. - Semantic Data Retrieval:
Research on improving semantic search and retrieval mechanisms is trending, highlighting the need for more effective ways to access and utilize large datasets.
Declining or Waning
- Traditional Database Management Systems:
There is a noticeable decline in research focused on conventional relational database management systems, possibly due to the rise of NoSQL and big data technologies that offer more flexibility and scalability. - Basic Data Mining Techniques:
As more advanced methodologies and machine learning approaches gain traction, traditional data mining techniques are being overshadowed, leading to a reduced emphasis on simpler algorithms. - Generic Applications of Data Analytics:
Research that applies data analytics in a one-size-fits-all manner is decreasing, as there is a growing preference for context-specific and domain-driven applications. - Static Knowledge Bases:
The focus on static knowledge representation is waning in favor of dynamic, evolving knowledge systems that can adapt to new information and contexts. - Descriptive Analytics:
There is a shift away from purely descriptive analytics toward more predictive and prescriptive analytics, indicating a demand for deeper insights and actionable recommendations.
Similar Journals
KSII Transactions on Internet and Information Systems
Innovating Solutions in Internet Technology and Information Systems.KSII Transactions on Internet and Information Systems is a leading academic journal dedicated to advancing the fields of Internet technology and information systems. Published by the KSII-Kor Soc Internet Information, this journal has established itself as a significant contributor to research since its inception in 2007, with a focus on innovative solutions and methodologies in computer networks and communications as well as information systems. With a Category Quartile of Q3 in both fields for 2023, it ranks in the 44th percentile among its peers according to Scopus, making it a reputable platform for authors to share their findings. While available in print, the journal also promotes open access, ensuring broad dissemination of research findings. The editorial team is committed to maintaining high scholarly standards and relevance, inviting contributions from researchers, professionals, and students eager to push the boundaries of knowledge in today's rapidly evolving digital landscape. For those engaged in or studying these dynamic fields, the KSII Transactions on Internet and Information Systems remains an invaluable resource for cutting-edge research.
Big Data Mining and Analytics
Navigating the Landscape of Big Data ScienceBig 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.
Business & Information Systems Engineering
Transforming Data into Strategic Business SolutionsBusiness & Information Systems Engineering is a premier journal dedicated to the intersection of business and information systems, published by SPRINGER VIEWEG-SPRINGER FACHMEDIEN WIESBADEN GMBH in Germany. With an impressive 2023 impact factor placing it in the Q1 category in Information Systems, this journal stands out for its rigorous peer-reviewed research that addresses the dynamic challenges faced by businesses in the digital age. Spanning from 2009 to 2024, it showcases empirical studies, theoretical frameworks, and practical applications, ensuring relevance for both researchers and practitioners alike. As part of the Scopus rankings, it is recognized within the top 93rd percentile in the field of Computer Science, specifically Information Systems, ranking #26 out of 394 journals. Currently, the journal operates under a non-open access model, thus providing a platform for high-quality research while maintaining exclusivity. Engaging with this journal is essential for anyone looking to stay at the forefront of developments in business and technology integration.
ACM TRANSACTIONS ON DATABASE SYSTEMS
Pioneering Research in Database SystemsACM Transactions on Database Systems (ISSN: 0362-5915, E-ISSN: 1557-4644) is a premier journal published by the Association for Computing Machinery, dedicated to advancing the field of database systems. Established in 1976, this influential journal has cultivated a reputation for rigorous research, earning a prestigious Q1 ranking in Information Systems as of 2023. With its strong impact factor and notable Scopus ranking (133 out of 394 in Computer Science), it stands as a vital resource for academics, professionals, and students alike seeking to explore the intricacies of database technology, design, and applications. While the journal follows a subscription model, it remains committed to disseminating key developments and fostering knowledge in the rapidly evolving domain of information systems. With contributions from leading experts in the field, ACM Transactions on Database Systems is essential reading for anyone dedicated to the study and practice of database engineering and management.
Informatics-Basel
Exploring New Frontiers in Computer NetworksInformatics-Basel is a leading international, peer-reviewed journal published by MDPI that has been at the forefront of disseminating high-quality research in the field of informatics since its establishment in 2014. Based in Switzerland, this Open Access journal strives to provide a platform for innovative studies across various domains, including Communication, Computer Networks and Communications, and Human-Computer Interaction, demonstrating its strong impact within these fields with impressive rankings: Q1 in Communication and Q2 in both Computer Networks and Communications and Human-Computer Interaction. Researchers and scholars are encouraged to contribute to the advancing dialogue on critical issues and emerging technologies, as evidenced by its esteemed Scopus rankings, placing it in the top percentiles of its respective categories. With its commitment to elevating knowledge accessibility, Informatics-Basel has become an essential resource for the academic community, stimulating collaboration and the sharing of ideas from 2014 to 2024 and beyond.
International Journal of Distributed Systems and Technologies
Innovating Connections in Technology and Networks.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.
International Journal of Data Warehousing and Mining
Elevating Standards in Data Research ExcellenceInternational Journal of Data Warehousing and Mining, published by IGI Global, is a vital resource in the field of data management and analytics, catering to researchers, professionals, and students alike. With ISSN 1548-3924 and E-ISSN 1548-3932, this journal has been at the forefront of disseminating pioneering research since its inception in 2005 and will continue to do so through 2024. Despite its current categorization in the Q4 quartile for Hardware and Architecture as well as Software, and its Scopus rankings, the journal aims to foster innovation within the domains of data warehousing, data mining, and their applications across various sectors. The absence of an open access option does not diminish its significance; rather, it ensures that the journal maintains rigorous peer-review standards, providing high-quality research outputs that contribute to ongoing discussions and advancements within the field. Researchers and practitioners looking to stay updated on the latest trends and methodologies will find the International Journal of Data Warehousing and Mining an indispensable tool in their academic and professional endeavors.
Journal of Intelligent Systems
Pioneering Research for a Smarter TomorrowThe 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.
Jordanian Journal of Computers and Information Technology
Empowering Innovation in Computing and Information TechnologyJordanian Journal of Computers and Information Technology, published by Princess Sumaya University and SRSF, stands as a significant platform for scholarly research in the realm of computer science, particularly in topics related to emerging technologies and information systems. With its Open Access model initiated in 2015, the journal facilitates global access to high-quality research findings, embodying the principles of knowledge sharing and academic collaboration. The journal's ranking in the Q3 category of Computer Science (miscellaneous) and its placement in the 54th percentile of Scopus' General Computer Science rankings underscore its growing reputation among researchers and professionals alike. Situated in Amman, Jordan, the journal actively contributes to the regional and international discourse on computing methodologies, applications, and innovations, making it an indispensable resource for scholars seeking to advance their understanding and engage with contemporary issues in technology.
Big Data
Empowering researchers in the era of big data.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.