Abstract
In our project EXPLORA, we try to utilize the semantics of the data for their exploratory statistical interpretation. The kernel of the system supplies a set of tools built around a search algorithm that exploits the semantic structures among variables, variable values and other objects. When a data set (or a type of data sets) is set up, these objects and relations have to be initialized; this includes defining the evaluation methods applicable to this particular data set. The system finds the most interesting statements about the data and thereby suppresses statements that are redundant or uninteresting relative to other ones that have been displayed. We propose an algorithm working on the data objects covered by a statement rather than on its syntactical form for suppressing results that apply to nearly the same data objects as another one even though the syntactical forms may — or may not — be quite different.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chowdhury, Shamsul I.: Statistical expert systems — a special application area for knowledge—based computer methodology. Linköping: University, 1987.109 pp.
Ellman, Thomas: Explanation-based learning: a survey of programs and perspectives. In: Computing Surveys 21 (1989), pp. 163 – 221.
Gale, William A.: Statistical applications of artificial intelligence and knowledge engineering. In: Knowledge Engineering Review 2 (1988), pp. 227 – 247.
Gebhardt, Friedrich: Prospects for expert systems to analyze election data. In: Classification and related methods of data analysis: proceedings of the First Conference of the International Federation of Classification Societies (IFCS) (Aachen, Juni 1987)/Hans H. Bock (ed.). Amsterdam: North-Holland, 1988, pp. 691 – 696.
Gebhardt, Friedrich: Statistische Fragestellungen bei einem Expertensystem zur explorativen Datenanalyse. Sankt Augustin: GMD, 1988 (GMD-Studien 137). – 123 pp.
Gebhardt, Friedrich: An expert system strategy for selecting interesting results. In: COMPSTAT 90: proceedings (Dubrovnik, Sept. 1990). Heidelberg: Physica, 1990. To be printed.
Gebhardt, Friedrich: Choosing among competing generalizations. Sankt Augustin: GMD, 1989 (Arbeitspapiere der GMD, 421). — 16 pp. — Preprint, to be published elsewhere.
Gebhardt, Friedrich: Choice among overlapping classifications. Submitted to the proceedings of 14. Jahrestagung der Gesellschaft für Klassifikation (Marburg, March 1990)/P. Ihm (ed.); H.-H. Bock (ed.). Berlin: Springer, 1990.
Hand, David J.: Expert systems in statistics. In: Knowledge Engineering Review 1, Nr. 3 (1986), pp. 2 — 10.
and, David J.: The application of expert systems in statistics. In: Interactions in artificial intelligence and statistical methods/Bob Phelps (cd.). Aldershot: Gower Technical Press, 1987, pp. 3 — 17.
Hoschka, Peter; Klösgen, Willi: A support system for interpreting statistical data. In: Knowledge discovery in databases/G. Piatetsky-Shapiro (ed.); W. Frawley (ed.). Cambridge, Mass.: MIT-Press. — In preparation, 1990.
Klösgen, Willi: The generalization step in a statistics interpreter. In: Data Analysis, Leaming Symbolic and Numeric Knowledge/E. Diday (cd.). New York: Nova Science, 1989, pp. 473–480.
Klösgen, Willi: EXPLORA: content interpretation of statistical data. In: Fortschritte der Statistik-Software/F. Faulbaum (ed.); H.M. Kehlinger (ed.). Stuttgart: G. Fischer, 1990. In print.
Latocha, Peter: Searching for the most interesting facts. In: Proceedings of the TASTED International Symposium on Expert Systems: theory and applications. Zürich: Acta Press, 1989, pp. 90 — 93.
Latocha, Peter: Exploration von Aussagenräumen: ein semantischer Ansatz. Sankt Augustin: GMD, 1989 (GMD-Studien 164). — 144 pp.
Wittkowski, Knut M.: Knowledge based support for the management of statistical databases. In: Statistical and scientific database management: 4th International Working Conference SSDBM (Rom, Juni 1988)/M. Rafanelli (cd.); J.C. Klensin (ed.); P. Svensson (ed.). Berlin: Springer, 1989, pp. 62 — 71.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1990 Springer-Verlag/Wien
About this chapter
Cite this chapter
Gebhardt, F. (1990). Exploratory data analysis using data semantics. In: Tjoa, A.M., Wagner, R. (eds) Database and Expert Systems Applications. Springer, Vienna. https://doi.org/10.1007/978-3-7091-7553-8_84
Download citation
DOI: https://doi.org/10.1007/978-3-7091-7553-8_84
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82234-0
Online ISBN: 978-3-7091-7553-8
eBook Packages: Springer Book Archive