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Management Information Systems

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Ubiquitous Computing Application and Wireless Sensor

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 331))

Abstract

In this publication authors present the most important aspects of semantic inference dedicated for description and analysis of financial data in cognitive management information systems. Analysis of financial data may be implemented not only to improve the results of the analysis process, i.e. insight analysis, the effectiveness of the proposed solutions, increase the use of analysis, but also to rationalization of data management processes of financial data in enterprises or organizations. The financial information management systems which semantically analyse the economic conditions, may execute their tasks using semantic information available to them. The foundation for the operation of financial and economic cognitive systems, consists in both the semantic analysis of the situation of the enterprise. This situation are described by various economic ratios and the assessment of the future situation of this enterprise.

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References

  1. Albus JS, Meystel AM (2001) Engineering of mind: an introduction to the science of intelligent systems. Willey, New York

    Google Scholar 

  2. Bodzioch S, Ogiela MR (2009) New approach to gallbladder ultrasonic images analysis and lesions recognition. Comput Med Imaging Graph 33(2):154–170

    Article  Google Scholar 

  3. Hachaj T, Ogiela MR (2011) A system for detecting and describing pathological changes using dynamic perfusion computer tomography brain maps. Comput Biol Med 41(6):402–410

    Article  Google Scholar 

  4. Kornai A (2008) Mathematical linguistics. Springer, Berlin

    Book  MATH  Google Scholar 

  5. Ogiela L (2008) Syntactic approach to cognitive interpretation of medical patterns. In: Xiong C et al (eds) Intelligent robotics and applications, first international conference, ICIRA 2008, Wuhan, China, 15–17 Oct 2008, LNAI 5314, pp 456–462

    Google Scholar 

  6. Ogiela L (2010) Cognitive informatics in automatic pattern understanding and cognitive information systems. In: Wang Y et al (eds) Advances in cognitive informatics and cognitive computing, studies in computational intelligence, vol 323. Springer, Berlin, pp 209–226

    Google Scholar 

  7. Ogiela L (2013) Data management in cognitive financial systems. Int J Inf Manage 33(2):263–270

    Article  Google Scholar 

  8. Ogiela L, Ogiela MR (2012) Advances in cognitive information systems, COSMOS 17. Springer, Berlin

    Book  Google Scholar 

  9. Ogiela MR, Ogiela U (2012) DNA-like linguistic secret sharing for strategic information systems. Int J Inf Manage 32(2):175–181

    Article  MathSciNet  Google Scholar 

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Acknowledgments

This work has been supported by the National Science Centre, Republic of Poland, under project number DEC-2012/05/B/HS4/03625.

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Correspondence to Lidia Ogiela .

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© 2015 Springer Science+Business Media Dordrecht

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Ogiela, L., Ogiela, M.R. (2015). Management Information Systems. In: Park, J., Pan, Y., Chao, HC., Yi, G. (eds) Ubiquitous Computing Application and Wireless Sensor. Lecture Notes in Electrical Engineering, vol 331. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9618-7_44

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  • DOI: https://doi.org/10.1007/978-94-017-9618-7_44

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9617-0

  • Online ISBN: 978-94-017-9618-7

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