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Grade analysis of data from the European Economic Survey 2005 on Economic Climate in Polish Servicing Sector

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The anonymous data from 1352 companies concerning the economic climate in Polish servicing sector from the European Economic Survey 2005 was obtained by courtesy of The Polish Chamber of Commerce. The Grade Correspondence Analysis (GCA) with posterior clustering (GCCA) is introduced and applied to this data. The main task of this analysis is to create the first view of data and to reveal their latent structure. This provides an insight into the economic factors and enables making conclusions about business conditions in Poland.
Rocznik
Strony
783--810
Opis fizyczny
Bibliogr. 15 poz., rys., wykr.
Twórcy
autor
autor
  • Systems Research Institute, Polish Academy of Science, Newelska 6, 01-447 Warszawa, Poland
Bibliografia
  • CIOK, A., KOWALCZYK, T., PLESZCZYŃSKA, E. and SZCZĘSNY, W. (1995) Algorithms of grade correspondence-cluster analysis. Archiwum Informatyki Teoretycznej i Stosowanej 7, 5-22.
  • CIOK, A. (2000) Double versus optimal grade clustering. In: H.A.L. Kiers, J.-P. Rasson, P.J.F. Groenen and M. Schader, eds., Data Analysis, Classification, and Related Methods. Springer, 41-46.
  • CIOK, A. (2004) On the number of clusters - a grade approach. Instytut Podstaw Informatyki PAN, Warszawa.
  • GREENACRE, M.J. (1984) Theory and Application of Correspondence Analysis. Academic Press, London.
  • GRZEGOREK, M. (2005) Image Decomposition by Grade Analysis - an Illustration. In: M. Kurzyński, E. Puchała, M. Woźniak and A. Żołnierek, eds., Computer Recognition Systems, Proceedings of IV International Conference CORES’05. Springer, Berlin-Heidelberg, 387-394.
  • GRZEGOREK, M. (2007) Towards an exploration of GCA ordered pixels. In: M. Kurzyński, E. Puchała, M. Woźniak and A. Żołnierek, eds., Computer Recognition Systems 2. Advances in Soft Computing. Springer, Berlin-Heidelberg, 156-163.
  • JAROCHOWSKA, E. and CIESIELSKI, K. (2006) Grade clustering and seriation of words based on their co-occurrences. In: V.P. Guerrero Bote, ed., Current Research in Information Sciences and Technologies. Multidisciplinary approaches to global information systems, Proceedings of the I International Conference on Multidisciplinary Information Sciences and Technologies, InSciT2006, 2, Merida, Spain, 52-56.
  • KOWALCZYK, T., PLESZCZYŃSKA, E. and RULAND, F., eds. (2004) Grade Models and Methods for Data Analysis. Studies in Puzziness and Soft Computing 151. Springer, Berlin-Heidelberg-New York.
  • KSIĄŻYK, J.B., MATYJA, O., PLESZCZYŃSKA, E. and WIECH, M., eds. (2005) Analysis of medical and demographic data with the use of program Grade-Stat (in Polish). Instytut Podstaw Informatyki PAN, Warszawa.
  • MATYJA, O. (2002) Smooth Grade Correspondence Analysis and Related Computer System. PhD Thesis, Institute of Computer Science, Polish Academy of Sciences, Warszawa.
  • PLESZCZYŃSKA, E. (2007) Application of Grade Methods to Medical Data: New Examples. Biocybernetics and Biomedical Engineering 27 (3) 77-93.
  • STASIECKA, A., PŁODZIEŃ, J. and STEMPOSZ, E. (2006) Measures for estimating the quality of e-learning materials in the didactic aspect. In: Proceedings of the Second International Conference on Web Information Systems and Technologies: Society, e-Business and e-Government / e-Learning, Setúbal, Portugal.
  • SZCZESNY, W. (1991) On the performance of a discriminant function. Journal of Classification 8, 201-215.
  • SZCZESNY, W. (1999) Outliers in grade correspondence analysis. In: M. Michalewicz, M. Kłopotek, eds., Intelligent Information Systems IIS’99, Procedings of the Workshop held in Ustroń, Poland. Instytut Podstaw Informatyki PAN, Warszawa, 332-336.
  • SZCZESNY, W. (2000) Detecting rows and columns of contingency table, which outlie from a total positivity pattern. Control and Cybernetics 29 (4), 1059-1073.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT5-0041-0019
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