Skip to main content
SpringerLink
Log in

Usage of a BART Algorithm and Cognitive Services to Research Collaboration Platforms

  • Conference paper
  • First Online:
Proceedings of International Scientific Conference on Telecommunications, Computing and Control

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 220))

Abstract

The ability to predict behavior in complex systems has always interested scientists. With the development of science, there is a gradual complication of systems and data processing methods in them. In this publication, work in the system is achieved by emulating interaction at various levels and nodes through collaboration platforms. The key idea of the whole area is the ability to predict the behavior of the system node based on experience and data obtained at previous stages of work. Improvement of such approaches in the future can have a serious impact on the process of improvement and the evolutionary transition to systems that are currently impossible to imagine. This transition remains impossible until humanity has learned to work effectively in the current collaboration platforms. The paper considers an algorithm for processing the obtained data and its extension using existing cognitive services for the analysis of texts. In the future, the algorithm may be expanded to work with visual information.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Jo, B., Khan, R.M.A.: An internet of things system for underground mine air quality pollutant prediction based on azure machine learning. Sensors (Basel) 18(4), 930 (2018). https://doi.org/10.3390/s18040930

  2. Buchal, R., Songsore, E.:.Collaborative knowledge building using Microsoft SharePoint. In: Proceedings of the 2018 Canadian Engineering Education Association (CEEA-ACEG18) Conf (2018)

    Google Scholar 

  3. Wang, Y., Lahiri, S.K., Chen, S., Pan, R., Dillig, I., Born, C., Naseer, I.: Formal Specification and Verification of Smart Contracts for Azure Blockchain, pp. 21–42 (2018). https://doi.org/10.1023/j.compind.2018.08.257

  4. Kurgan, L., Musilek, P.: A survey of knowledge discovery and data mining process models. Knowl. Eng. Rev. 21(1), 1–24 (2006)

    Article  Google Scholar 

  5. Briggs, R.O., Kolfschoten, G.L., de Vreede, G.J., Dean, D.L.: Defining key concepts for collaboration engineering. In: Americas Conference on Information Systems, Acapulco, Mexico (2006)

    Google Scholar 

  6. Frost, S.: Meetings around the World: The Impact of Collaboration on Business Performance (2007)

    Google Scholar 

  7. Dennis, A.R., Nunamaker, J.F.J., Vogel, D.R.: A comparison of laboratory and field research in the study of electronic meeting systems. J. Manag. Inf. Syst. 3, 107–135 (1991)

    Google Scholar 

  8. Soller, A., Martínez, A., Jermann, P.: From mirroring to guiding: a review of state of the art technology for supporting collaborative learning. Int. J. Artif. Intell. Educ. 15, 261–290 (2005)

    Google Scholar 

  9. Webster, J., Staples, D.S.: Comparing virtual teams to traditional teams: An identification of new research opportunities. In: Martoccio, J.J. (ed.) Research in Personnel and Human Resources Management, vol. 25, pp. 181–215. JAI Press, San Diego, CA (2006)

    Google Scholar 

  10. Fjermestad, J., Hiltz, S.R.: An assessment of group support systems experimental research: methodology and results. J. Manage. Inf. Syst. 15, 7–149 (1999)

    Article  Google Scholar 

  11. Fjermestad, J., Hiltz, S.R.: A descriptive evaluation of group support systems case and field studies. J. Manage. Inf. Syst. 17, 115–159 (2001)

    Google Scholar 

  12. Bostrom, R., Anson, R., Clawson, V.K.: Group facilitation and group support systems. In: Jessup, L.M., Valacich, J.S. (eds.) Group Support Systems: New Perspectives. Macmillan (1993)

    Google Scholar 

  13. Witte, E.H.: Toward a group facilitation technique for project teams. Group Processes & Intergroup Relations 10(3), 299–309 (2007)

    Article  Google Scholar 

  14. Alter, A.: Collaboration: Unlocking the Power of Teams. CIO Insight (2009). Retrieved April 15, from https://www.cioinsight.com/c/a/Resea

  15. Breiman, L., Friedman, J., Stone, C., Olshen, R.: Classification and Regression Trees. Chapman and Hall/CRC, Boca Ration (1984)

    MATH  Google Scholar 

  16. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001)

    Article  Google Scholar 

  17. Tong, H.: Threshold models in nonlinear time series analysis. Springer-Verlag, New York (1983)

    Book  Google Scholar 

  18. Chen, J., Chen, Z.: Extended Bayesian information criteria for model selection with large model spaces. Biometrika 95(3), 759–771 (2008)

    Article  MathSciNet  Google Scholar 

  19. Azure Cognitive Services: https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/. Last accessed 1 Oct 2019

  20. Kim, Y., Kim, J., Kim, W., Im, J.: Predicting fluctuations in cryptocurrency transactions based on user comments and replies. PLoS ONE 17, 1–17 (2016). https://doi.org/10.1371/journal.pone.0161197

Download references

Author information

Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Sergey Saradgishvili & Ilia Voronkov

Authors
  1. Sergey Saradgishvili
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ilia Voronkov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ilia Voronkov .

Editor information

Editors and Affiliations

  1. Higher School of Software Engineering, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Nikita Voinov

  2. Department of Computer Science and Biomedical Engineering, Graz University of Technology, Graz, Austria

    Tobias Schreck

  3. School of Maths, Computer Science and Engineering, City, University of London, London, UK

    Sanowar Khan

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Saradgishvili, S., Voronkov, I. (2021). Usage of a BART Algorithm and Cognitive Services to Research Collaboration Platforms. In: Voinov, N., Schreck, T., Khan, S. (eds) Proceedings of International Scientific Conference on Telecommunications, Computing and Control. Smart Innovation, Systems and Technologies, vol 220. Springer, Singapore. https://doi.org/10.1007/978-981-33-6632-9_23

Download citation

  • DOI: https://doi.org/10.1007/978-981-33-6632-9_23

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6631-2

  • Online ISBN: 978-981-33-6632-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation