Skip to main content

Distributed Architecture of Data Analysis System Based on Formal Concept Analysis Approach

  • 702 Accesses

Part of the Studies in Computational Intelligence book series (SCI,volume 616)

Abstract

This paper describes distributed architecture and data workflow of the analysis system called FCART. Comparing with the similar systems FCART is capable of dealing with various data sources, data preprocessing and interactive analysis, extending functionality by integrating independent web-services and developing plugins. Example of gathering and analyzing data of social networking service is considered.

Keywords

  • Software architecture
  • Data analysis
  • Data mining
  • Graph mining
  • Formal concept analysis
  • Knowledge extraction

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-25017-5_25
  • Chapter length: 7 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   219.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-25017-5
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   279.99
Price excludes VAT (USA)
Hardcover Book
USD   299.99
Price excludes VAT (USA)
Fig. 1
Fig. 2

References

  1. Ganter, B., Wille R.: Formal Concept Analysis: Mathematical Foundations. Springer, Berlin (1999)

    Google Scholar 

  2. Kuznetsov, S.O., Poelmans, J.: Knowledge representation and processing with formal concept analysis. Wiley Interdisc. Rev. Data Min. Knowl. Discov. 3(3), 200–215 (2013)

    CrossRef  Google Scholar 

  3. Poelmans, J., Ignatov, D.I., Kuznetsov, S.O., Dedene, G.: Formal concept analysis in knowledge processing: a survey on applications. Expert Syst. Appl. 40, 6538–6560 (2013)

    CrossRef  Google Scholar 

  4. Poelmans, J., Elzinga, P., Neznanov, A., Viaene. S., Kuznetsov, S.O., Ignatov D., Dedene G.: Concept relation discovery and innovation enabling technology (CORDIET). In: CEUR Workshop proceedings, Concept Discovery in Unstructured Data, vol. 757 (2011)

    Google Scholar 

  5. Neznanov A.A., Ilvovsky D.A., Kuznetsov S.O.: FCART: A new FCA-based system for data analysis and knowledge discovery In: Contributions to the 11th International Conference on Formal Concept Analysis, pp. 31–44 (2013)

    Google Scholar 

  6. Cubist Project: (http://www.cubist-project.eu)

  7. Kaytoue, M., Marcuola, F., Napoli, A., Szathmary, L., Villerd, J.: The coron system. In: Proceeding of the 8th International Conference on Formal Concept Analysis (ICFCA 2010), pp. 55–58 (2010)

    Google Scholar 

  8. Yevtushenko, S.A.: System of data analysis “Concept Explorer”. In: Proceedings of the 7th national conference on Artificial Intelligence KII-2000, p. 127–134, Russia, (2000) (In Russian).

    Google Scholar 

  9. Berners-Lee, T., Fielding, R., Masinter, L.: RFC-3986: Uniform Resource Identifier (URI): Generic Syntax. (http://www.ietf.org/rfc/rfc3986.txt)

  10. Hunter II, T.: Consumer-Centric API Design. (https://thomashunter.name/consumer-centric-api-design)

  11. The OAuth 2.0 Authorization Framework (RFC-6749): (https://tools.ietf.org/html/rfc6749)

  12. Neznanov, A., Ilvovsky, D., Parinov, A.: Advancing FCA workflow in FCART system for knowledge discovery in quantitative data. In: 2nd International Conference on Information Technology and Quantitative Management (ITQM-2014), Procedia Computer Science, vol. 31, pp. 201–210 (2014)

    Google Scholar 

  13. LiveJournal: (http://livejournal.com)

Download references

Acknowledgments

This work was carried out by the authors within the project “Data mining based on applied ontologies and lattices of closed descriptions” supported by the Basic Research Program of the National Research University Higher School of Economics.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. A. Parinov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Neznanov, A.A., Parinov, A.A. (2016). Distributed Architecture of Data Analysis System Based on Formal Concept Analysis Approach. In: Novais, P., Camacho, D., Analide, C., El Fallah Seghrouchni, A., Badica, C. (eds) Intelligent Distributed Computing IX. Studies in Computational Intelligence, vol 616. Springer, Cham. https://doi.org/10.1007/978-3-319-25017-5_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-25017-5_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25015-1

  • Online ISBN: 978-3-319-25017-5

  • eBook Packages: EngineeringEngineering (R0)