Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Monitoring Airplanes Faults Through Business Intelligence Tools

  • Conference paper
  • First Online:
Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 158))

  • 707 Accesses

Abstract

In this work we propose a tool able to monitor aeroplanes crashes, providing reports and views to managers, in order to improve services for the safety of passengers on board. We exploited Business Intelligence data visualisation tools functionalities to design specific data processing phases, from the pre-processing to the cleaning and filtering and finally visualisation of the reports.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Similar content being viewed by others

Notes

  1. 1.

    https://www.ibm.com/it-it/products/cognos-analytics.

  2. 2.

    https://www.microstrategy.com/it.

  3. 3.

    https://www.spagobi.org/.

  4. 4.

    https://powerbi.microsoft.com/it-it/.

  5. 5.

    https://cloud.google.com/looker.

  6. 6.

    https://www.qlik.com/it-it.

  7. 7.

    https://www.kaggle.com/.

  8. 8.

    Comma Separated Values.

References

  1. Amato, F., Cozzolino, G., Mazzeo, A., Romano, S.: Intelligent medical record management: a diagnosis support system. Int. J. High Perform. Comput. Networking 12(4), 391–399 (2018)

    Article  Google Scholar 

  2. Amato, F., Cozzolino, G., Moscato, F., Moscato, V., Picariello, A., Sperli, G.: Data mining in social network. In: International Conference on Intelligent Interactive Multimedia Systems and Services, pp. 53–63. Springer (2018)

    Google Scholar 

  3. Amato, A., Cozzolino, G., Moscato, V.: Big data analytics for traceability in food supply chain. In: Workshops of the International Conference on Advanced Information Networking and Applications, pp. 880–884. Springer (2019)

    Google Scholar 

  4. Amato, A., Balzano, W., Cozzolino, G., Moscato, F.: Analysis of consumers perceptions of food safety risk in social networks. In: International Conference on Advanced Information Networking and Applications, pp. 1217–1227. Springer (2019)

    Google Scholar 

  5. Huber, E.: Monitoring airplanes faults through business intelligence tools

    Google Scholar 

  6. Amato, F., Cozzolino, G., Mazzeo, A., Mazzocca, N.: Correlation of digital evidences in forensic investigation through semantic technologies. In: 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 668–673. IEEE (2017)

    Google Scholar 

  7. Cozzolino, G.: Using semantic tools to represent data extracted from mobile devices. In: 2018 IEEE International Conference on Information Reuse and Integration (IRI), pp. 530–536. IEEE (2018)

    Google Scholar 

  8. Canonico, R., Cozzolino, G., Ferraro, A., Moscato, V., Picariello, A., Sorrentino, F.R., Sperlì, G.: A smart chatbot for specialist domains. In: Workshops of the International Conference on Advanced Information Networking and Applications, pp. 1003–1010. Springer (2020)

    Google Scholar 

  9. Amato, A., Cozzolino, G.: Trust analysis for information concerning food-related risks. In: International Conference on Emerging Internetworking, Data & Web Technologies, pp. 344–354. Springer (2019)

    Google Scholar 

  10. Castiglione, A., Cozzolino, G., Moscato, V., Sperlì, G.: Analysis of community in social networks based on game theory. In: 2019 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), pp. 619–626. IEEE (2019)

    Google Scholar 

  11. Amato, F., Cozzolino, G., Moscato, F., Xhafa, F.: Semantic analysis of social data streams. In: International Conference on Intelligent Networking and Collaborative Systems, pp. 59–70. Springer (2018)

    Google Scholar 

  12. Amato, A., Cozzolino, G., Giacalone, M.: Opinion mining in consumers food choice and quality perception. In: International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp. 310–317. Springer (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Napoli Federico II, Naples, Italy

    Alessandra Amato

  2. DIETI, University of Napoli Federico II, via Claudio 21, Naples, Italy

    Giovanni Cozzolino

  3. DISPC, University of Salerno, Via Giovanni Paolo II, 132, Fisciano, SA, Italy

    Alessandro Maisto & Serena Pelosi

Authors
  1. Alessandra Amato
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Giovanni Cozzolino
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Alessandro Maisto
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Serena Pelosi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Giovanni Cozzolino .

Editor information

Editors and Affiliations

  1. Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Hosei University, Tokyo, Japan

    Makoto Takizawa

  3. Osaka University, Osaka, Japan

    Tomoki Yoshihisa

  4. University of Naples “Federico II”, Napoli, Italy

    Flora Amato

  5. Fukuoka Institute of Technology, Fukuoka, Japan

    Makoto Ikeda

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Amato, A., Cozzolino, G., Maisto, A., Pelosi, S. (2021). Monitoring Airplanes Faults Through Business Intelligence Tools. In: Barolli, L., Takizawa, M., Yoshihisa, T., Amato, F., Ikeda, M. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2020. Lecture Notes in Networks and Systems, vol 158. Springer, Cham. https://doi.org/10.1007/978-3-030-61105-7_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-61105-7_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61104-0

  • Online ISBN: 978-3-030-61105-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation