Data mining in finance

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Data mining in finance

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DATA MINING IN FINANCE Advances in Relational and Hybrid Methods The Kluwer International Series in Engineering and Computer Science DATA MINING IN FINANCE Advances in Relational and Hybrid Methods by BORIS KOVALERCHUK Central Washington University, USA and EVGENII VITYAEV Institute of Mathematics Russian Academy of Sciences, Russia KLUWER ACADEMIC PUBLISHERS NEW YORK, BOSTON, DORDRECHT, LONDON, MOSCOW H%RRN ,6%1 3ULQW,6%1 70187 792378040 ‹.OXZHU$FDGHPLF3XEOLVKHUV 1HZ

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Mục lục

  • front-matter

  • 1The scope and methods of the study

  • 2Numerical Data Mining Models and Financial Applications

  • 3Rule-Based and Hybrid Financial Data Mining

  • 4Relational Data Mining (RDM)

  • 5Financial Applications of Relational Data Mining

  • 6Comparison of Performance of RDM and other methods in financial applications

  • 7Fuzzy logic approach and its financial applications

  • back-matter

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