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  • Andreev, Andriy, et al. (author)
  • Using self-organizing map for data mining : A synthesis with accounting applications
  • 2012
  • In: Data mining: Foundations and intelligent paradigms. - Berlin : Springer. - 9783642231506 ; , s. 321-342
  • Book chapter (peer-reviewed)abstract
    • The self-organizing map (i.e. SOM) has inspired a voluminous body of literature in a number of diverse research domains. We present a synthesis of the pertinent literature as well as demonstrate, via a case study, how SOM can be applied in clustering accounting databases. The synthesis explicates SOM's theoretical foundations, presents metrics for evaluating its performance, explains the main extensions of SOM, and discusses its main financial applications. The case study illustrates how SOM can identify interesting and meaningful clusters that may exist in accounting databases. The paper extends the relevant literature in that it synthesises and clarifies the salient features of a research area that intersects the domains of SOM, data mining, and accounting. 
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Type of publication
book chapter (1)
Type of content
peer-reviewed (1)
Author/Editor
Andreev, Andriy (1)
Argyrou, Argyris (1)
University
Jönköping University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Social Sciences (1)
Year
2012 (1)

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