ProTime2022

The 2^nd International Workshop on Time Ordered Data

email: dexa@iiwas.org
Papers submission: https://easychair.org/conferences/?conf=protime2022

  IMPORTANT DATES  

• Paper submission: March 7^th 2022.March 21^st 2022,April 4^th 2022,  April 14^th 2022  (SHARP)
• Notification of acceptance: May 10^th, 2022
• Camera-ready copies due: June 1^st, 2022
• Workshop days: August 22^nd - 24^th, 2022

PUBLICATION
All accepted ProTime 2022 papers will be published by Springer in their Communications in Computer and Information Science (CCIS). CCIS volumes are indexed in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science; Scopus; EI Engineering Index; Google Scholar; DBLP; etc. 
Selected high-quality papers will be invited to be published, after revision and extension, in special issues of international journals.

SCOPE
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
Topics of ProTime2022 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

SUBMISSION GUIDELINES
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.

Formatting guidelines: http://www.dexa.org/formatting_guidelines
Online Papers Submission: https://easychair.org/conferences/?conf=protime2022

ACCEPTED PAPERS
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 2022 conference and present the paper at ProTime2022 workshop.

COMMITTEE
Program Committee Co-Chairs

• Siegfried Hörmann, TU-Graz, Austria
• Hans Manner, University of Graz, Austria
• Florian Sobieczky, Software Competence Center Hagenberg, Austria

Program Committee Menbers

• Sebastian Müller, Aix-Marseille University, France
• Ivo Bukovsky, University of South Bohemia, Czech Republic
• David Gabauer, Software Competence Center Hagenberg, Austria
• Anna-Christina Glock, MSc, Software Competence Center Hagenberg, Austria
• Michal Lewandowsky, MSc, Software Competence Center Hagenberg, Austria

For further enquiries please contact dexa@iiwas.org