期刊信息
Information Systems (IS)
http://www.journals.elsevier.com/information-systems/影响因子: |
2.309 |
出版商: |
Elsevier |
ISSN: |
0306-4379 |
浏览: |
18767 |
关注: |
30 |
征稿
Information systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems. Subject areas include data management issues as presented in the principal international database conferences (e.g. ACM SIGMOD, ACM PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining, information retrieval, internet and cloud data management, web semantics, visual and audio information systems, scientific computing, and organisational behaviour. Implementation papers having to do with massively parallel data management, fault tolerance in practice, and special purpose hardware for data-intensive systems are also welcome. All papers should motivate the problems they address with compelling examples from real or potential applications. Systems papers must be serious about experimentation either on real systems or simulations based on traces from real systems. Papers from industrial organisations are welcome. Theoretical papers should have a clear motivation from applications. They should either break significant new ground or unify and extend existing algorithms. Such papers should clearly state which ideas have potentially wide applicability. In addition to publishing submitted articles, the Editors-in-Chief will invite retrospective articles that describe significant projects by the principal architects of those projects. Authors of such articles should write in the first person, tracing the social as well as technical history of their projects, describing the evolution of ideas, mistakes made, and reality tests. Technical results should be explained in a uniform notation with the emphasis on clarity and on ideas that may have applications outside of the environment of that research. Particularly complex details may be summarised with references to previously published papers. We will make every effort to allow authors the right to republish papers appearing in Information Systems in their own books and monographs.
最后更新 Dou Sun 在 2022-01-29
Special Issues
Special Issue on Verification, Control, and Repair in Business Process Management截稿日期: 2024-05-31Business process management supports the coordination of complex and interrelated activities within one or many organizations. The legitimate executions of business processes (BPs) are usually represented through a BP model, specifying a partial order between the activities to regulate their execution order (control-flow perspective). Several BP models are also augmented with: time and temporal constraints (time perspective) resources and allocation policies for task executions (resource perspective) data and value assignments to keep track of more sources of information (data perspective) If a BP model contains errors in any of the perspectives above, the execution of the BP may end with some constraint violated or remain blocked in a livelock/deadlock where progress/conclusion is no longer possible. Errors in BP models reveal imprecision in BPs (illegitimate behavior, over-constrained models, etc.). All this can only worsen if some parts of the BP are uncontrollable (task duration, choice of execution branch, resource availability, variable value assignments, etc.). To guarantee that BPs can be executed "safely" three main methods can be employed: verification: determination of errors, constraint violations, livelocks/deadlocks control: restriction of the possible executions to ensure constraint satisfaction/process completion repair: modification of the model to prevent constraint violations/deadlocks/livelocks This special issue looks for submissions delving into these three areas of BPs with particular focus on temporal, resource, and data perspectives, considered in isolation or simultaneously, with respect to discrete and/or continuous domains, employing techniques applied at design or runtime. All techniques advancing these areas are welcome. Techniques coming from or lying at the intersection of communities beyond the BPM/IS/PM, whose results can be tailored to BPs, are especially welcome. Pertinent review papers are also welcome. Guest editors: Assist. Prof. Matteo Zavatteri (Executive Guest Editor)University of Padua, ItalyEmail: matteo.zavatteri@unipd.it Areas of Expertise: formal methods, discrete event systems and supervisory control, temporal networks and reasoning, constraint satisfaction and optimization, planning and scheduling under uncertainty, artificial intelligence, business process management Assoc. Prof. Massimiliano de LeoniUniversity of Padua (UniPd), ItalyEmail: deleoni@math.unipd.it Areas of Expertise: Business Process Management and Modeling, Process Mining, Business Process Improvement, Process Simulation, Predictive Analytics, and Process-Aware Recommender Systems Prof. Johann EderUniversity of Klagenfurt, AustriaEmail: johann.eder@aau.atAreas of Expertise: information systems engineering, business process management, and data management for medical research Prof. Manfred ReichertUlm University, GermanyEmail: manfred.reichert@uni-ulm.de Areas of Expertise: formal aspects of business process management, flexible business process execution, IoT-aware business processes, object-centric processes, and cognitive aspects of business process modeling and process model comprehension Manuscript submission information: Important Dates: Submission Open Date: April 30, 2024 Submission Deadline: August 31, 2024 Editorial Acceptance Deadline: April 30, 2025
最后更新 Dou Sun 在 2024-05-12
Special Issue on Process mining meets visual analytics截稿日期: 2024-06-05Process mining (PM) is a body of techniques blending data science concepts with business process management (BPM). It utilizes event data recorded by IT systems that support process execution for a variety of tasks. These include the automated discovery of graphical process models, conformance checking between data and models, enhancement of process models with additional analytic information, run-time monitoring of processes and operational support. Thus far, research efforts in the PM area have primarily focused on algorithms and methods from a technical perspective. Less attention has been paid to supporting PM practitioners throughout the entire PM process. An important means for supporting human sense-making is through visualization of the analysis processes, the input (event data), and results. Appropriate visualizations can trigger hypotheses, drive additional analysis, reveal patterns, and raise insights. Visual Analytics (VA) is a multidisciplinary approach, integrating aspects of data mining and knowledge discovery, information visualization, human-computer interaction, and cognitive science, with the aim to make complex phenomena more comprehensible, facilitate new insights, and enable knowledge discovery from data. VA leverages the specific strengths of computers and humans for the best possible outcome: on the one hand, computers are better at managing and processing large amounts of data by exploiting their computational power; on the other hand, humans have better perceptual and cognitive means, which enable them to visually perceive unexpected patterns and to interpret data. VA and PM exhibit complementary traits that would greatly and mutually benefit from joining forces. However, the scientific body of literature reports on few endeavours towards this direction. This special issue aims to contribute to the cross-fertilization of VA and PM, and welcomes works centred around methods and techniques stemming from, and contributing to, these disciplines. Guest editors: Dr. Claudio Di Ciccio (Executive Guest Editor)Utrecht University, Utrecht, NetherlandsEmail: c.diciccio@uu.nl Areas of Expertise: Process mining, automated reasoning in AI, blockchain technologies Prof. Pnina SofferUniversity of Haifa, Haifa, IsraelEmail: spnina@is.haifa.ac.il Areas of Expertise: Business process management, process mining, conceptual modeling Prof. Barbara WeberUniversity of St. Gallen, St. Gallen, SwitzerlandEmail: barbara.weber@unisg.ch Areas of Expertise: Process modeling, process mining, adaptive software systems Prof. Silvia MikschTU Wien, Vienna, AustriaEmail: silvia.miksch@tuwien.ac.at Areas of Expertise: Visualization and visual analytics over time and space, guidance, plan and process modeling
最后更新 Dou Sun 在 2024-03-07
相关期刊
CCF | 全称 | 影响因子 | 出版商 | ISSN |
---|---|---|---|---|
b | Information Systems | 2.309 | Elsevier | 0306-4379 |
IEICE Transactions on Information and Systems | IEICE | 0916-8532 | ||
Modelling and Simulation in Engineering | Hindawi | 1687-5591 | ||
Information Systems Journal | 3.286 | Wiley-Blackwell | 1350-1917 | |
c | Journal of Computer Information Systems | 0.822 | IACIS | 0887-4417 |
Information Systems Research | 2.457 | INFORMS | 1047-7047 | |
b | European Journal of Information Systems | 2.892 | The OR Society | 0960-085X |
Information Systems and e-Business Management | 5.073 | Springer | 1617-9846 | |
c | The Journal of Strategic Information Systems | 11.02 | Elsevier | 0963-8687 |
b | Knowledge and Information Systems | 2.822 | Springer | 0219-1377 |
全称 | 影响因子 | 出版商 |
---|---|---|
Information Systems | 2.309 | Elsevier |
IEICE Transactions on Information and Systems | IEICE | |
Modelling and Simulation in Engineering | Hindawi | |
Information Systems Journal | 3.286 | Wiley-Blackwell |
Journal of Computer Information Systems | 0.822 | IACIS |
Information Systems Research | 2.457 | INFORMS |
European Journal of Information Systems | 2.892 | The OR Society |
Information Systems and e-Business Management | 5.073 | Springer |
The Journal of Strategic Information Systems | 11.02 | Elsevier |
Knowledge and Information Systems | 2.822 | Springer |
相关会议
CCF | CORE | QUALIS | 简称 | 全称 | 截稿日期 | 通知日期 | 会议日期 |
---|---|---|---|---|---|---|---|
b | ETAPS | European Joint Conferences on Theory and Practice of Software | 2023-10-12 | 2023-12-21 | 2024-04-06 | ||
iDSC | International Data Science Conference | 2019-01-11 | 2019-02-24 | 2019-05-22 | |||
CPSCom | International Conferences on Cyber, Physical and Social Computing | 2024-05-01 | 2024-06-01 | 2024-08-19 | |||
c | b | a1 | ICIP | International Conference on Image Processing | 2024-01-31 | 2024-06-06 | 2024-10-27 |
ICSLE | International Conference on Smart Learning Environments | 2018-10-19 | 2018-11-29 | 2019-03-18 | |||
EAIS | Evolving and Adaptive Intelligent Systems | 2022-02-07 | 2022-03-07 | 2022-05-25 | |||
b3 | SASO | International Conference on Self-Adaptive and Self-Organizing Systems | 2019-03-10 | 2019-04-10 | 2019-06-16 | ||
NCTA | International Conference on Neural Computation Theory and Applications | 2024-06-03 | 2024-07-31 | 2024-11-20 | |||
MSE' | International Conference on Materials Science and Engineering | 2023-04-29 | 2023-05-01 | 2023-05-13 | |||
ICCTICT | International Conference on Computational Techniques in Information and Communication Technologies | 2015-10-31 | 2015-12-15 | 2016-03-11 |
简称 | 全称 | 截稿日期 | 会议日期 |
---|---|---|---|
ETAPS | European Joint Conferences on Theory and Practice of Software | 2023-10-12 | 2024-04-06 |
iDSC | International Data Science Conference | 2019-01-11 | 2019-05-22 |
CPSCom | International Conferences on Cyber, Physical and Social Computing | 2024-05-01 | 2024-08-19 |
ICIP | International Conference on Image Processing | 2024-01-31 | 2024-10-27 |
ICSLE | International Conference on Smart Learning Environments | 2018-10-19 | 2019-03-18 |
EAIS | Evolving and Adaptive Intelligent Systems | 2022-02-07 | 2022-05-25 |
SASO | International Conference on Self-Adaptive and Self-Organizing Systems | 2019-03-10 | 2019-06-16 |
NCTA | International Conference on Neural Computation Theory and Applications | 2024-06-03 | 2024-11-20 |
MSE' | International Conference on Materials Science and Engineering | 2023-04-29 | 2023-05-13 |
ICCTICT | International Conference on Computational Techniques in Information and Communication Technologies | 2015-10-31 | 2016-03-11 |
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