Flow Graphs and Intelligent Data Analysis

• Autorzy: Pawlak Z.
• Języki publikacji: EN

Abstrakty

EN

This paper concerns a new approach to intelligent data analysis based on information flow distribution study in a flow graph. Branches of a flow graph are interpreted as decision rules, whereas a flow graph is supposed to describe a decision algorithm. We propose to model decision processes as flow graphs and analyze decisions in terms of flow spreading in a graph.

Słowa kluczowe

EN

flow graphs; data mining; information flow; intelligent data analysis; Bayes' rule

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2005
• Tom: Vol. 64, nr 1-4
• Strony: 369--377
• Opis fizyczny: Bibliogr. 6 poz.

Twórcy

autor

Pawlak Z.

• Institute for Theoretical and Applied Informatics, Polish Academy of Sciences, Batycka 5, 44-100 Gliwice, Poland
• Warsaw School of Information Technology ul. Newelska 6, 01-447 Warsaw, Poland

Bibliografia

• [1] M. Berthold, D.J. Hand, IntelligentData Analysis – An Introduction. Springer-Verlag, Berlin, Heidelberg,New York, 1999.
• [2] L.R. Ford, D.R. Fulkerson, Flows in Networks. Princeton University Press, Princeton, New Jersey, 1962.
• [3] J. Łukasiewicz, Die logishen Grundlagen derWahrscheinilchkeitsrechnung.Krak´ow (1913), in: L. Borkowski, Ed., Jan Łukasiewicz – Selected Works, North Holland Publishing Company, Amsterdam, London, Polish Scientific Publishers, Warsaw, 1970, 16–63.
• [4] S. Marcus, Tolerance rough sets, Čech topologies, learning processes, Bulletin of the Polish Academy of Sciences, Technical Sciences, 42 (1994), 471–487.
• [5] Z. Pawlak, Flow graphs and decision algorithms, In: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing, Proceedings, G. Wang, Y. Yao, and A. Skowron, Eds., Lecture Notes in Artificial Intelligence, 2639, Springer, 2003, 1–10.
• [6] R. Swinburne, Ed., Bayes’s Theorem, Proceedings of the British Academy - 113, Oxford University Press, 2002.