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Handling veracity of nominal data in big data : a multipolar approach

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Abstract
With this paper we aim to contribute to the proper handling of veracity, which is generally recognized as one of the main problems related to ‘Big’ data. Veracity refers to the extent to which the used data adequately reflect real world information and hence can be trusted. More specifically we describe a novel computational intelligence technique for handling veracity aspects of nominal data, which are often encountered when users have to select one or more items from a list. First, we discuss the use of fuzzy sets for modelling nominal data and specifying search criteria on nominal data. Second, we introduce the novel concept of a multipolar satisfaction degree as a tool to handle criteria evaluation. Third, we discuss aggregation of multipolar satisfaction degrees. Finally, we demonstrate the proposed technique and discuss its benefits using a film genre example.

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MLA
De Tré, Guy, et al. “Handling Veracity of Nominal Data in Big Data : A Multipolar Approach.” Flexible Query Answering Systems, FQAS 2019, Proceedings, edited by Alfredo Cuzzocrea et al., vol. 11529, Springer, 2019, pp. 317–28.
APA
De Tré, G., Boeckling, T., Timmerman, Y., & Zadrożny, S. (2019). Handling veracity of nominal data in big data : a multipolar approach. In A. Cuzzocrea, S. Greco, H. L. Larsen, D. Sacca, T. Andreasen, & H. Christiansen (Eds.), Flexible query answering systems, FQAS 2019, Proceedings (Vol. 11529, pp. 317–328). Amantea, Italy: Springer.
Chicago author-date
De Tré, Guy, Toon Boeckling, Yoram Timmerman, and Sławomir Zadrożny. 2019. “Handling Veracity of Nominal Data in Big Data : A Multipolar Approach.” In Flexible Query Answering Systems, FQAS 2019, Proceedings, edited by Alfredo Cuzzocrea, Sergio Greco, Henrik Legind Larsen, Domenico Sacca, Troels Andreasen, and Henning Christiansen, 11529:317–28. Springer.
Chicago author-date (all authors)
De Tré, Guy, Toon Boeckling, Yoram Timmerman, and Sławomir Zadrożny. 2019. “Handling Veracity of Nominal Data in Big Data : A Multipolar Approach.” In Flexible Query Answering Systems, FQAS 2019, Proceedings, ed by. Alfredo Cuzzocrea, Sergio Greco, Henrik Legind Larsen, Domenico Sacca, Troels Andreasen, and Henning Christiansen, 11529:317–328. Springer.
Vancouver
1.
De Tré G, Boeckling T, Timmerman Y, Zadrożny S. Handling veracity of nominal data in big data : a multipolar approach. In: Cuzzocrea A, Greco S, Larsen HL, Sacca D, Andreasen T, Christiansen H, editors. Flexible query answering systems, FQAS 2019, Proceedings. Springer; 2019. p. 317–28.
IEEE
[1]
G. De Tré, T. Boeckling, Y. Timmerman, and S. Zadrożny, “Handling veracity of nominal data in big data : a multipolar approach,” in Flexible query answering systems, FQAS 2019, Proceedings, Amantea, Italy, 2019, vol. 11529, pp. 317–328.
@inproceedings{8628724,
  abstract     = {With this paper we aim to contribute to the proper handling of veracity, which is generally recognized as one of the main problems related to ‘Big’ data. Veracity refers to the extent to which the used data adequately reflect real world information and hence can be trusted. More specifically we describe a novel computational intelligence technique for handling veracity aspects of nominal data, which are often encountered when users have to select one or more items from a list. First, we discuss the use of fuzzy sets for modelling nominal data and specifying search criteria on nominal data. Second, we introduce the novel concept of a multipolar satisfaction degree as a tool to handle criteria evaluation. Third, we discuss aggregation of multipolar satisfaction degrees. Finally, we demonstrate the proposed technique and discuss its benefits using a film genre example.},
  author       = {De Tré, Guy and Boeckling, Toon and Timmerman, Yoram and Zadrożny, Sławomir},
  booktitle    = {Flexible query answering systems, FQAS 2019, Proceedings},
  editor       = {Cuzzocrea, Alfredo and Greco, Sergio and Larsen, Henrik Legind and Sacca, Domenico and Andreasen, Troels and Christiansen, Henning},
  isbn         = {9783030276287},
  issn         = {0302-9743},
  language     = {eng},
  location     = {Amantea, Italy},
  pages        = {317--328},
  publisher    = {Springer},
  title        = {Handling veracity of nominal data in big data : a multipolar approach},
  url          = {http://dx.doi.org/10.1007/978-3-030-27629-4_29},
  volume       = {11529},
  year         = {2019},
}

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