202,34 €
269,79 €
-25% su kodu: ENG25
Financial Fraud Detection Using Machine Learning
Financial Fraud Detection Using Machine Learning
202,34
269,79 €
  • Išsiųsime per 10–14 d.d.
Introduction.- The Definition of Financial Fraud.- The Basic Theory of Financial Fraud.- Financial Fraud Litigation and Forensic Accounting.- Resampling Techniques and Feature Selection.- Detection Models and Applications.- Financial Fraud Detection Based on Litigation and Resampling Methods.- Financial Fraud Detection Based on Feature Selection and the GONE Framework.- Financial Fraud Detection Based on Multi-Source Data.- The Classical Case of Financial Fraud.
  • Leidėjas:
  • Metai: 2025
  • Puslapiai: 228
  • ISBN-10: 9819508398
  • ISBN-13: 9789819508396
  • Formatas: 16 x 24.1 x 1.8 cm, kieti viršeliai
  • Kalba: Anglų
  • Extra -25 % nuolaida šiai knygai su kodu: ENG25

Financial Fraud Detection Using Machine Learning (el. knyga) (skaityta knyga) | knygos.lt

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Introduction.- The Definition of Financial Fraud.- The Basic Theory of Financial Fraud.- Financial Fraud Litigation and Forensic Accounting.- Resampling Techniques and Feature Selection.- Detection Models and Applications.- Financial Fraud Detection Based on Litigation and Resampling Methods.- Financial Fraud Detection Based on Feature Selection and the GONE Framework.- Financial Fraud Detection Based on Multi-Source Data.- The Classical Case of Financial Fraud.

EXTRA 25 % nuolaida su kodu: ENG25

202,34
269,79 €
Išsiųsime per 10–14 d.d.

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  • Autorius: Xiyuan Ma, Desheng Wu
  • Leidėjas:
  • Metai: 2025
  • Puslapiai: 228
  • ISBN-10: 9819508398
  • ISBN-13: 9789819508396
  • Formatas: 16 x 24.1 x 1.8 cm, kieti viršeliai
  • Kalba: Anglų Anglų

Introduction.- The Definition of Financial Fraud.- The Basic Theory of Financial Fraud.- Financial Fraud Litigation and Forensic Accounting.- Resampling Techniques and Feature Selection.- Detection Models and Applications.- Financial Fraud Detection Based on Litigation and Resampling Methods.- Financial Fraud Detection Based on Feature Selection and the GONE Framework.- Financial Fraud Detection Based on Multi-Source Data.- The Classical Case of Financial Fraud.

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