The 3rd International Workshop on Time Ordered Data

>> Virtual presentation is possible <<


  • Paper submission: 10 May 2023 (SHARP - FINAL)
  • Notification of acceptance: 20 May 2023
  • Camera-ready copies due: 15 June 2023
  • Conference days:  28-30 August 2023

All accepted ProTime 2023 papers will be published by Springer in their Communications in Computer and Information Science (CCIS). CCIS volumes are indexed in Scopus; EI Engineering Index; Google Scholar; DBLP; etc. and submitted for indexing in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science. Selected high-quality papers will be invited to be published, after revision and extension, in special issues of international journals.

Databases of time-ordered data are closely linked to the probability theory of discrete stochastic processes - the statistical patterns and random structures hidden in the recurring events of data streams occurring in modern industrial and service-related environments often need modern powerful but black-box type predictive models to be handled with sufficient rigor.  To form proper statistical descriptions of temporal patterns it is desirable to raise the methodological scope of static stochastic models to a probability theory encompassing the functional, and stochastic process-theoretic properties of times-series.
The aim of this workshop is to bring together the authors of the newest probabilistic approaches to effectively discover, filter, represent, and use hidden qualities of time ordered data within time series data base management

Topics of ProTime2023 workshop includes, but not limited to:

  • Discrete-time stochastic processes modeling data streams
  • Detection of Structural Change (Change point detection, Sequential Anaylsis)
  • Time series databases
  • Operational historians
  • Queueing Theory and databases
  • Time series modeling and Machine learning
  • Deep Learning for time series forecasting
  • Time Series models for hidden structures in data streams
  • Model predictive control and time series forecasting
  • Data Segmentation

Authors are invited to electronically submit original research contributions or experience reports in English. In order to encourage participation and discussion, this workshop solicits two types of submissions:
•  Regular paper submissions about original work not exceeding 10 pages.
•  Short paper submissions on recent or ongoing work on relevant topics and ideas not exceeding 5 pages.

Papers submission will be managed using EquinOCS Springer Nature Conference Proceedings Submission System.
Authors should consult Springer’s authors’ instructions ( and use the proceedings templates, either for LaTeX or for Word, for the preparation of their papers. 
Once you click on the submission link (, you will be guided to the EquinOCS Login page, which will be open in your browser. Click on the button “Submit now”. This will guide you directly to the paper submission process. If you already have an account at EquinOCS you will be asked to Login. After Login you will be guided to the start page where you can start with your submission. If you yet do not have an account at EquinOCS, please follow the registration process. Once your Account has been created an email will be sent to the address you have stated in the registration process. Please follow the instructions in this mail to activate your account and start your submission.
Please refer to EquinOCS user guide ( for more information.

All accepted papers will be published by Springer in "Communications in Computer and Information Science (CCIS).  Authors of all accepted papers must sign a Springer copyright release form. At least one of the authors of an accepted paper must register to DEXA 2023 conference and present the paper at ProTime2023 workshop.


  • Siegfried Hörmann (Institute for Statistics, Graz-University of Technology, Austria)
  • Sebastian Müller (Aix-Marseille University, France)
  • Hans Manner (University of Graz, Austria)
  • Florian Sobieczky (SCCH - Hagenberg, Austria) (Chair)
  • Ivo Bukovsky (Institute for Applied Informatics, Univ. of South Bohemia, Czechia)
  • Manuela Geiß (SCCH - Hagenberg, Austria)

For further enquiries please contact