Abstract
The paper deals with the new challenges and the roles of metada and metainformation in the area of text/data mining in the area of statistics. In the first part, the paper is presenting some basic characteristics of the contemporary statistical information systems from the point of view of the needs for utilization of metadata and data/text mining. As it is well known, modern statistical systems are characterized by an enormous amounts of various statistical data what requires also specific methods and technologies for their processing. In the second part the mutual relations between metadata and metainformation are analysed and some conclusions and recommendations for the further research and development in that problem areas are presented.
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References
METANET, Metainformation Systems in Statistical Offices, MetaNet Work Package 1: Methodology and Tools, EU IST-1999-29093 Project, Brussels 2003
SIBIS — Statistical Indicators for Benchmarking the Information Society, Measuring the Information Society in the EU, the EU Accession Copuntries, Switzerland and the US, Pocket Book 2002/03, Empirica Bonn 2003
Olivia Parr Rud: Data Mining Cookbook Modeling Data for Marketing, Risk and Customer Relationship Management, John Willey & Sons International Rights, Computer Press, 2001
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© 2005 Springer-Verlag Berlin Heidelberg
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Šoltés, D. (2005). New Challenges and Roles of Metadata in Text/Data Mining in Statistics. In: Sirmakessis, S. (eds) Knowledge Mining. Studies in Fuzziness and Soft Computing, vol 185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32394-5_14
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DOI: https://doi.org/10.1007/3-540-32394-5_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25070-8
Online ISBN: 978-3-540-32394-5
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