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2010 | 10D |
Tytuł artykułu

Analogue complexing algorithm's usage in data mining

Warianty tytułu
RU
Ispol'zovanie algoritma kompleksirovanija analogov v data mining
Języki publikacji
EN
Abstrakty
EN
RU
Wydawca
-
Rocznik
Tom
10D
Opis fizyczny
p.81-90,fig.,ref.
Twórcy
autor
  • Volodymyr Dahl East-Ukrainian University, Lugansk, Ukraine
autor
autor
Bibliografia
  • 1. German O.V. 1995.: Introduction into expert systems theory and data mining. DesignPRO Press Inc., Minsk.
  • 2. Ivakhnenko G. 2008.: Short-Term Process Forecasting by Analogues Complexing GMDH Algorithm. In: Proceedings of 2nd Int. Conf. on Inductive Modeling, Kyiv, Ukraine, Sept. 15-19, p.241-245.
  • 3. Ivakhnenko A.G. 1981.: Inductive Method of Self-organizing Models of the Intricate Systems. Kiev, Ukraine.
  • 4. Zubov D., Vlasov Y., Grigorenko M. 2008.: Method of the Decade Air’s Temperature Long- Range Prognosis with Robust Inductive Models and Analogue Principle. In: Proceedings of 2nd Int. Conf. on Inductive Modeling, Kyiv, Ukraine, Sept. 15-19, p. 263-266.
  • 5. Godfrey C. Onwubolul, Petr Buryan, Sitaram Garimella, Visagaperuman Ramachandran, Viti Buadromo and Ajith Abraham. 2007.: Self-Organizing Data Mining for Weather Forecasting. Proceedings of the First European Conference on Data Mining. Lisboa, IADIS Press, p. 81-88.
  • 6. Cofino A.S., Gutierrez J.M. 2003.: Implementation of Data Mining Techniques for Meteorological Applications. Realizing Teracomputing. W.Zwieflhofer and N.Kreitz, editors. World Scientific, p. 215-240.
  • 7. Gavrilova T.A., Chervinskaya K.R. 1992.: Knowledge acquisition and structuring for expert systems. Moscow, Radio and communication Press, 200 p.
  • 8. Kirdin A.N., Novokhodko A.Y., Tsaregorodcev V.G. 1998.: Hidden parameters and transposed regression. Chapter 7 in Neuron-informatics book. Novosibirsk, Science Press, 296 p.
  • 9. Gavrilova T.A., Khoroshevsky V.F. 2000.: Knowledge bases of intellectual systems. St. Petersburg, Piter Press, 384 p.
  • 10. Yushkov A.V., Zhurenkov O.V. 2005.: Using of the Analogue Complexing of Parameters of Space-Temporal Distribution of the EAS Cherenkov Light for the Analysis of the Mass Composition of Cosmic Rays. 29th International Cosmic Ray Conference, Pune, 6. -p. 81-84.
  • 11. Ivakhnenko A.G. 1991.: An Inductive Sorting Method for the Forecast of Multidimensional Random Processes and Analog Events with the Method of Analog Forecast Complexing . Pattern Recognition and Image Analysis, Vol. 1, N 1, p. 101-107.
  • 12. Ivakhnenko A.G., Kovalish V.V., Tetko I.V., Luik A.I., Ivakhnenko G.A., Ivakhnenko N.A. 1999.: Self-Organization of Neural Networks with Active Neurons for Bioactivity of Chemical Compounds Forecasting by Analogues Complexing GMDH algorithm. Report at the ICANN’99 Conference, London.
  • 13. Johann-Adolf Mueller and Frank Lemke 1999.: Self-Organising Data Mining. An Intelligent Approach To Extract Knowledge From Data. 1st Edition. Berlin, Dresden, Trafford Publishing Press, 260 p.
  • 14. Madala H.R., Ivakhnenko A.G. 1994.: Inductive Learning Algorithms for Complex System Modeling. CRC Press, 368 p.
  • 15. Statistical Data Mining and Knowledge Discovery (2004) Edited by Bozdogan H. CRC Press, 595 p.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.agro-7a134eac-ef98-4891-b805-10d176e5fd72
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