PL EN


Preferences help
enabled [disable] Abstract
Number of results
2015 | 127 | 3A | A-38-A-44
Article title

Q-Entropy Approach to Selecting High Income Households

Content
Title variants
Languages of publication
EN
Abstracts
EN
A generalized algorithm for building classification trees, based on Tsallis q-entropy, is proposed and applied to classification of Polish households with respect to their incomes. Data for 2008 are used. Quality measures for obtained trees are compared for different values of q parameter. A method of choosing the optimum tree is elaborated.
Keywords
Contributors
  • Faculty of Applied Informatics and Mathematics, WULS-SGGW, Nowoursynowska 159, 02-776, Warsaw, Poland
author
  • Faculty of Applied Informatics and Mathematics, WULS-SGGW, Nowoursynowska 159, 02-776, Warsaw, Poland
  • Faculty of Applied Informatics and Mathematics, WULS-SGGW, Nowoursynowska 159, 02-776, Warsaw, Poland
author
  • Faculty of Applied Informatics and Mathematics, WULS-SGGW, Nowoursynowska 159, 02-776, Warsaw, Poland
author
  • Faculty of Applied Informatics and Mathematics, WULS-SGGW, Nowoursynowska 159, 02-776, Warsaw, Poland
References
  • [1] B.M.S. van Praag, A.J.M. Hagenaars, H. van Weern, Rev. Income Wealth 28, 345 (1982), doi: 10.1111/j.1475-4991.1982.tb00621.x
  • [2] P. Maitra, F. Vahid, J. Appl. Econom. 21, 999 (2006), doi: 10.1002/jae.853
  • [3] A.A. Dragulescu, V.M. Yakovenko, Physica A 299, 213 (2001), doi: 10.1016/S0378-4371(01)00298-9
  • [4] A. Banerjee, V.M. Yakovenko, T. Di Matteo, Physica A 370, 54 (2006), doi: 10.1016/j.physa.2006.04.023
  • [5] M. Jagielski, R. Kutner, M. Pęczkowski, Acta Phys. Pol. A 121, B-47 (2012)
  • [6] M. Jagielski, R. Kutner, Physica A 392, 2130 (2013), doi: 10.1016/j.physa.2013.01.028
  • [7] P. Łukasiewicz, A. Orłowski, Physica A 344, 146 (2004), doi: 10.1016/j.physa.2004.06.106
  • [8] P. Łukasiewicz, K. Karpio, A. Orłowski, Acta Phys. Pol. A 121, B-82 (2012)
  • [9] A. Lemmens, C. Croux, J. Marketing Res. 43, 276 (2006)
  • [10] J.L. Zhanga, W.K. Härdleb, Comput. Stat. Data An. 54, 1197 (2010), doi: 10.1016/j.csda.2009.11.022
  • [11] M. Chrzanowska, E. Alfaro, D. Witkowska, Expert Syst. Appl. 36, 6409 (2009), doi: 10.1016/j.eswa.2008.07.048
  • [12] K. Karpio, G. Koszela, P. Łukasiewicz, A. Orłowski, Quantitative Methods in Economics 15 403 (2014)
  • [13] J.N. Morgan, J.A. Sonquist, J. Am. Stat. Assoc. 58, 415 (1963), doi: 10.1080/01621459.1963.10500855
  • [14] L. Breiman, J.H. Friedman, R.A. Olshen, C.J. Stone, Classification and Regression Trees, Wadsworth, Belmont, CA 1984
  • [15] J. Quinlan, C 4.5: Programs for machine learning, Morgan Kaufmann, San Mateo, CA 1993, doi: 10.1007/BF00993309
  • [16] C.E. Shannon, Bell Syst. Tech. J. 27, 379, 623 (1948)
  • [17] C. Tsallis, J. Stat. Phys. 52, 479 (1988), doi: 10.1007/BF01016429
  • [18] A. Rényi, 'On measures of entropy and information', Proceedings of the fourth Berkeley Symposium on Mathematics, Statistics and Probability 1960, 547 (1961)
  • [19] T. Maszczyk, W. Duch, Artif. Intell. Soft Comput.-ICAISC 5097, 643 (2008), doi: 10.1007/978-3-540-69731-2_62
  • [20] Central Statistical Office, Household Budget Survey in 2008, Warsaw 2009
  • [21] D. Madden, J. Econom. Inequality 9, 23 (2011), doi: 10.1007/s10888-009-9124-5
  • [22] A.P. Bradley, Pattern Recogn. 30, 1145 (1997), doi: 10.1016/S0031-3203(96)00142-2
  • [23] J. Huang, C.X. Ling, IEEE T. Knowl. Data En. 17, 299 (2005), doi: 10.1109/TKDE.2005.50
  • [24] D.J. Hand, R.J. Till, Mach. Learn. 45, 171 (2001), doi: 10.1023/A:1010920819831
  • [25] T. Fawcett, Mach. Learn. 31, 1 (2004)
  • [26] M. Piekut, Polskie gospodarstwa domowe - dochody, wydatki i wyposażenie w dobra trwałego użytkowania, Wyd. SGGW, Warszawa 2008
  • [27] L. Zienkowski, Z. Żółkiewski, Wiadomości Statystyczne 11, 24 (2006)
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-appv127n3a06kz
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.