Skip to main content
SpringerLink
Log in

RETRACTED CHAPTER: Ready Mealy, Moore & Markov Mathematical Modeling Machines for Big Data

  • Conference paper
  • First Online:
Future Intelligent Vehicular Technologies (Future 5V 2016)

Included in the following conference series:

Abstract

In this paper we have given a new idea of bringing automation to the Big data. This paper basically focused on the three core topics in automaton for Big data. Automation machines are used in today world to automate certain applied sciences ideas, into computational models. Mealy, Moore & Markov Probabilistic Modeling are one of those used to accomplish the said task. In particular we have focused on transducer and features in MATLAB and implication of system General Knowledge are focused in this paper.

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

Access this chapter

Log in via an institution

Institutional subscriptions

Change history

  • 21 June 2019

    The editors have retracted this chapter by Furqan et al. [1] because of overlap with a preprint by Cholewa et al. that was previously posted on arXiv [2]. All authors agree to this retraction. References: [1] Furqan H.T., Wahab A.A., Sadiq S., Ali Shah P.A. (2017). Ready Mealy, Moore & Markov Mathematical Modeling Machines for Big Data. In: Ferreira J., Alam M. (eds.) Future Intelligent Vehicular Technologies. Future 5V 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 185. Springer, Cham. [2] Michal Cholewa, Piotr Gawron, Przemyslaw Glomb, Dariusz Kurzyk. Quantum Hidden Markov Models based on Transition Operation Matrices arXiv:1503.08760v1

References

  1. Ampadu, C.: Averaging in SU(2) open quantum random walk. Chin. Phys. B 23(3), 030302 (2014)

    Article  Google Scholar 

  2. Brzozowski, J.A., Jürgensen, H.: A model for sequential machine testing and diagnosis. J. Electron. Test. 3(3), 219–234 (1992)

    Article  Google Scholar 

  3. Knowledge Resouce Library GITAM University. http://www.gitam.edu/library_aboutus.aspx?title=573

  4. Ghahramani, Z.: An introduction to hidden Markov models and Bayesian networks. Int. J. Pattern Recogn. Artifi. Intell. 15(01), 9–42 (2001)

    Article  Google Scholar 

  5. Gudder, S.: Quantum Markov chains. J. Math. Phys. 49(7), 072105 (2008)

    Article  MathSciNet  Google Scholar 

  6. Automata Theory Tutorial Point Simply Easy Learning. http://www.tutorialspoint.com/automata_theory/automata_theory_tutorial.pdf

  7. Deasing of a Mealy Machine. www.ele.ufes.br

  8. Khalili, A., Tacchella, A.: Learning nondeterministic mealy machines. JMLR: Workshop Conf. Proc. 34, 109–123 (2014)

    Google Scholar 

  9. Amato, C., Bonet, B., Zilberstein, S.: Finite-state controllers based on mealy machines for centralized and decentralized POMDPs. In: AAAI, July 2010

    Google Scholar 

  10. Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS. https://www.iais.fraunhofer.de/

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, University of South Asia, Lahore, Pakistan

    Hafiz Tahir Furqan, Ahmad Abdul Wahab, Sultan Sadiq & Pir Amad Ali Shah

Authors
  1. Hafiz Tahir Furqan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ahmad Abdul Wahab
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sultan Sadiq
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Pir Amad Ali Shah
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Pir Amad Ali Shah .

Editor information

Editors and Affiliations

  1. University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal

    Joaquim Ferreira

  2. Instituto de Telecomunicações, Campus Universitário de Santiago, Aveiro, Portugal

    Muhammad Alam

Rights and permissions

Reprints and permissions

Copyright information

© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Furqan, H.T., Wahab, A.A., Sadiq, S., Ali Shah, P.A. (2017). RETRACTED CHAPTER: Ready Mealy, Moore & Markov Mathematical Modeling Machines for Big Data. In: Ferreira, J., Alam, M. (eds) Future Intelligent Vehicular Technologies. Future 5V 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 185. Springer, Cham. https://doi.org/10.1007/978-3-319-51207-5_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-51207-5_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51206-8

  • Online ISBN: 978-3-319-51207-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation