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New Data and New Tools: A Hypermedia Environment for Navigating Statistical Knowledge in Data Science

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New Approaches in Classification and Data Analysis
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Summary

In research organizations and universities handling statistical information, enormous efforts are being made to integrate a great diversity of stored statistical information resources into databases. In many cases, however, these resources are recorded on a great variety of media and they are not integrated and are stored in scattered locations. This paper introduces a Statistical Meta-Information Navigation System (called Meta-Stat Navigator) developed to create a hypermedia environment for using these resources as effective research support information, together with the related research results. The main objective of this paper is to propose the conversion of statistical information resources to hypertext for effective management of the resources that will make it possible to find out with ease what information is stored where, in what form, and how it can be utilized, and the other objective is to discuss the new system to be built using a hypermedia environment.

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References

  • BARRETT, E. (ed.) (1989): The Society of Text: Hypertext, Hypermedia, and the Social Construction of Information, The MIT Press.

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  • HORN, R. E.(1989): Mapping Hypertext, The English Agency, Ltd.

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  • MCKNIGHIT, C., DILLON, A. and RICHARDSON, J. (eds.) (1993): Hypertext: A Psychological Perspective, Ellis Horwood.

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  • NIELSEN, J. (1990): Hypertext & hypermedia, Academic Press.

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  • OHSUMI, N. (1992): An Experimental System for Navigating Statistical Meta-Information -The Meta-Stat Navigator, The Proceedings of the 10th Symposium on Computational Statistics, 2, 375–380, Physica-Verlag.

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© 1994 Springer-Verlag Berlin Heidelberg

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Ohsumi, N. (1994). New Data and New Tools: A Hypermedia Environment for Navigating Statistical Knowledge in Data Science. In: Diday, E., Lechevallier, Y., Schader, M., Bertrand, P., Burtschy, B. (eds) New Approaches in Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51175-2_4

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  • DOI: https://doi.org/10.1007/978-3-642-51175-2_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58425-4

  • Online ISBN: 978-3-642-51175-2

  • eBook Packages: Springer Book Archive

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