Journal Guide

Computer Science and Information Systems (ComSIS) is an international refereed journal, published in Serbia. The objective of ComSIS is to communicate important research and development results in the areas of computer science, software engineering, and information systems.We publish original papers of lasting value covering both theoretical foundations of computer science and commercial, industrial, or educational aspects that provide new insights into design and implementation of software and information systems. ComSIS also welcomes surveys papers that contribute to the understanding of emerging and important fields of computer science. Regular columns of the journal cover reviews of newly published books, presentations of selected PhD and master theses, as well as information on forthcoming professional meetings. In addition to wide-scope regular issues, ComSIS also includes special issues covering specific topics in all areas of computer science and information systems.ComSIS publishes invited and regular papers in English. Papers that pass a strict reviewing procedure are accepted for publishing. ComSIS is published semiannually.ComSIS supports the Open Access policy of distribution of published manuscripts, ensuring "free availability on the public Internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of [published] articles". More information about the Open Access policy is available here. ComSIS charges a nominal fee for printed volumes only.

Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.Computational/informatics elements may include: computational methods; algorithms; data structure; database retrieval; information retrieval; data processing; artificial intelligence; computer graphics; computer visualization; programming languages; parallel systems; distributed systems; the World-Wide Web; social media; and software engineering.Geoscientific topics of interest include: mineralogy; petrology; geochemistry; geomorphology; paleontology; stratigraphy; structural geology; sedimentology; hydrogeology; oceanography; atmospheric sciences; climatology; meteorology; geophysics; geomatics; remote sensing; geodesy; hydrology; and glaciology.Other fields may be considered but are not regarded as a priority.Computers & Geosciences does not consider:Pure methodology papers (without computer science)Standard code of already well-established, or previously published methodsGraphical User Interfaces (GUIs), unless they provide an original solution to a non-trivial input-handling problemPapers which use GIS tools in only standard ways, but are otherwise largely focused on the geoscience disciplineSubmissions from fields such as mining engineering, petroleum engineering, geotechnical engineering, rock-mechanics and others, unless such submissions contain a significant geosciences component. For instance, a mining paper only dealing with transport problems, a geotechnical paper on lab experiments, or a paper on rockbolting, would be considered unsuitable.Code and Data:Computers & Geosciences aims to publish code and supporting data from accepted manuscripts using state-of-the-art technologies. Code should be original and demonstrate a development in research. It should also have clear design and be reproducible, reusable, extensible and maintainable. The journal uses the github.com platform (search for: CAGEO) which allows the community to publish, maintain, update and comment on published code and data.Paper Types:Original research article (5,000 words): Providing a novel and original contribution to the scientific fields of study outlined above.Application article (5,000 words): Describing a real-world case study on the scientific fields of study outlined above.Scientific review article (10,000 words): Critically describing the state-of-the art of applications of computer science in the geosciences, as a stand-alone contribution or to frame a special issue. Criteria for assessment shall be: completeness, depth, novelty, timeliness, quality, and interest to the Journal's readership. Review outlines should be pre-approved by an Associate Editor, or Editorial Board Member of the Journal.Book and software reviews (1500 words): Describing and evaluating a new or significant publication or piece of software relevant to aspects of computation or informatics in the geosciences.Letter to the Editor: Commenting on published articles. Criteria for assessment shall be the merit of the question or comment raised. The author(s) of the commented-on article shall be offered the opportunity to prepare a reply, to be published alongside the comment.

The official journal of Technical Committee 11 (computer security) of the International Federation for Information Processing.Computers & Security is the most respected technical journal in the IT security field. With its high-profile editorial board and informative regular features and columns, the journal is essential reading for IT security professionals around the world.Computers & Security provides you with a unique blend of leading edge research and sound practical management advice. It is aimed at the professional involved with computer security, audit, control and data integrity in all sectors - industry, commerce and academia. Recognized worldwide as THE primary source of reference for applied research and technical expertise it is your first step to fully secure systems.Subscribe today and see the benefits immediately!• Our cutting edge research will help you secure and maintain the integrity of your systems• We accept only the highest quality of papers ensuring that you receive the relevant and practical advice you need• Our editorial board's collective expertise will save you from paying thousands of pounds to IT consultants• We don't just highlight the threats, we give you the solutionsBenefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

Cybernetics and Systems serves as an international forum for the publication of the latest developments in cybernetics. The journal exposes scientists from diverse disciplines to important new methods in cybernetics, while drawing attention to novel applications of these methods to problems from many areas of research. Strictly refereed contributions present original research based on empirical verification, spanning a broad range of interests, from artificial intelligence to economics. Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.

Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields.DKE covers the following topics:1. Representation and Manipulation of Data & Knowledge: Conceptual data models. Knowledge representation techniques. Data/knowledge manipulation languages and techniques.2. Architectures of database, expert, or knowledge-based systems: New architectures for database / knowledge base / expert systems, design and implementation techniques, languages and user interfaces, distributed architectures.3. Construction of data/knowledge bases: Data / knowledge base design methodologies and tools, data/knowledge acquisition methods, integrity/security/maintenance issues.4. Applications, case studies, and management issues: Data administration issues, knowledge engineering practice, office and engineering applications.5. Tools for specifying and developing Data and Knowledge Bases using tools based on Linguistics or Human Machine Interface principles.6. Communication aspects involved in implementing, designing and using KBSs in Cyberspace.Plus... conference reports, calendar of events, book reviews etc.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

The premier technical publication in the field, Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research communities. The journal publishes original technical papers in both the research and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications. Coverage includes: - Theory and Foundational Issues - Data Mining Methods - Algorithms for Data Mining - Knowledge Discovery Process - Application Issues.

Data Technologies & Applications focusses on the management of digital information, mostly covering Information Science and Information System aspects. Covers all aspects of the data revolution brought about by the Internet and the World-Wide-Web.

Huge volumes of primary data are currently archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent than today. The lasting archiving, accurate curation, efficient analysis and precise interpretation of all of these data are a challenge. Collectively, database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data.

Decision Support Systems welcomes contributions on the concepts and operational basis for DSSs, techniques for implementing and evaluating DSSs, DSS experiences, and related studies. In treating DSS topics, manuscripts may delve into, draw-on, or expand such diverse areas as artificial intelligence, cognitive science, computer supported cooperative work, data base management, decision theory, economics, linguistics, management science, mathematical modeling, operations management psychology, user interface management systems, and others. The common thread of articles published in the journal will be their relevance to theoretical, technical DSS issues.Authors planning to submit papers to the journal should ensure that their work is relevant to the topics normally considered to be part of the field of decision support systems.The Journal's research papers tend to fall into the following six topic departments:1. DSS Foundations e.g. DSS principles, concepts, and theories; frameworks, formal languages, and methods for DSS research; tutorials about the nature of DSS; assessments of the DSS field.2. DSS Development-Functionality e.g. methods, tools, and techniques for developing the underlying functional aspects of a DSS; solver/model management; data management in DSSs; rule management and AI in DSSs; coordinating a DSS's functionality within its user interface.3. DSS Development-Interfaces e.g. methods, tools, and techniques for developing the overt user interface of a DSS; managing linguistic, presentation, and user knowledge in a DSS; DSS help facilities; coordinating a DSS's interface events with its functionality events.4. DSS Impacts and Evaluation e.g. DSS economics; DSS measurement; DSS impacts on individual users, multiparticipant users, organizations, and societies; evaluating/justifying DSSs.5. DSS Reference Studies e.g. reference discipline tutorials for DSS researchers; emerging technologies relevant to DSS characteristics or DSS development; related studies on such topics as communication support systems, computer supported cooperative work, negotiation support systems, research support systems, task support systems.6. DSS Experiences, Management, and Education e.g. experiences in developing or operating DSSs; systems solutions to specific decision support needs; approaches to managing DSSs; DSS instruction/training approaches.

Digital Discovery welcomes both experimental and computational work on all topics related to the acceleration of discovery such as screening, robotics, databases and advanced data analytics, broadly defined, but anchored in chemistry. The journal welcomes Artificial intelligence and data science methodologies for chemical, materials science, biochemical, biomedical or biophysical sciences including Computer-assisted retrosynthesis, Generative models for scientific design, Machine learning classification and regression models, Modern molecular, materials, and biological representations, Methods for Bayesian optimization and design of experiments, Advances and applications of interpretable models, Image recognition, Natural language processing, Literature mining tools, Advanced data workflows, Advances in robotics for science, Experimental control software, Databases, New robotic setups, New automated sensors, Novel synthetic methodologies and workflows, High-throughput computational science, Directed or accelerated evolution, DNA Encoded Library Technology, Cryptochemistry, and Blockchain-enabled science.

Digital Library Perspectives keeps readers informed about current trends, initiatives, and developments around digital content collections

Assessing the impact of information and communication technologies on the economy and society from a multidisciplinary perspective, DPRG covers topics such as Cybersecurity, Big Data, The Internet of Things and ICT for development.

DSH or Digital Scholarship in the Humanities is an international, peer reviewed journal which publishes original contributions on all aspects of digital scholarship in the Humanities including, but not limited to, the field of what is currently called the Digital Humanities. Long and short papers report on theoretical, methodological, experimental, and applied research. DSH also publishes reviews of books and resources.

Distributed and parallel database technology has been the subject of intense research and development effort. Numerous practical application and commercial products that exploit this technology also exist. Since the mid-1990s, web-based information management has used distributed and/or parallel data management to replace their centralized cousins. The maturation of the field, together with the new issues that are raised by the changes in the underlying technology, requires a central focus for work in the area. Distributed and Parallel Databases provides such a focus for the presentation and dissemination of new research results, systems development efforts, and user experiences in distributed and parallel database systems. Distributed and Parallel Databases publishes papers in all the traditional as well as most emerging areas of database research, including: Data Integration, Data Sharing, Security and Privacy, Transaction Management, Process and Workflow Management, Information Extraction, Query Processin