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A Framework for Combining Multivalued Data: A Practical Approach

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Computer Aided Systems Theory – EUROCAST 2011 (EUROCAST 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6927))

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Abstract

Scientific and engineering disciplines are developing daily. This progress is strongly connected to complex techniques and methods. Over the years countless efforts have been made to process data. However it is surprising to observe that the majority of methods and techniques used are binary based. In recent years, due to the development of Knowledge Discovery in Databases, many techniques and tools that discover useful information and knowledge in databases have been designed. Knowledge Discovery in Databases is the nontrivial process of identifying valid, novel, potentially useful, and understandable patterns in data [1].

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References

  1. Fayyed, U., Piatestsky-Shapiro, G., Smyth, P.: From Data Mining to Knowledge Discovery in Databases. American Association for Artificial Intelligence, AI Magazine Fall 96, 37–54 (1996)

    Google Scholar 

  2. Cios, K.J., Pedrycz, W., Swiniarski, R.W., Kurgan, L.A.: Data Mining. A Knowledge Discovery Approach. Springer, New York (2007)

    MATH  Google Scholar 

  3. Miró-Julià, M.: Knowledge Discovery in Databases Using Multivalued Array Algebra. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds.) EUROCAST 2009. LNCS, vol. 5717, pp. 17–24. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  4. Miró-Julià, M.: The Zero Array: A Twilight Zone. In: Moreno-Díaz Jr., R., Pichler, F. (eds.) EUROCAST 2003. LNCS, vol. 2809, pp. 92–103. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  5. Miró-Julià, M.: A Contribution to Multivalued Systems. Ph.D. thesis (2000). Universitat de les Illes Balears (2000)

    Google Scholar 

  6. Miró, J., Miró-Julià, M.: A Numerical Computation for Declarative Expressions. In: Moreno-Díaz, R., Pichler, F. (eds.) EUROCAST 1997. LNCS, vol. 1333, pp. 236–251. Springer, Heidelberg (1997)

    Chapter  Google Scholar 

  7. Miró, J., Miró-Julià, M.: Equality of Functions in CAST. In: Albrecht, R., Moreno-Díaz, R., Pichler, F. (eds.) EUROCAST 1995. LNCS, vol. 1030, pp. 129–136. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  8. Miró-Julià, M., Miró, J.: Transformation of Array Expressions. In: Proceedings of the Second IASTED International Conference. Artificial Intelligence and Applications, pp. 273–278 (2002)

    Google Scholar 

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Miró-Julià, M. (2012). A Framework for Combining Multivalued Data: A Practical Approach. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2011. EUROCAST 2011. Lecture Notes in Computer Science, vol 6927. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27549-4_1

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  • DOI: https://doi.org/10.1007/978-3-642-27549-4_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27548-7

  • Online ISBN: 978-3-642-27549-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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