机读格式显示(MARC)
- 000 02273cam a2200373 i 4500
- 008 200521s2021 paua b 001 0 eng
- 020 __ |a 9781799848059 |c CNY 2128.60
- 040 __ |a DLC |b eng |c DLC |e rda |d DLC
- 050 00 |a HF5668.25 |b .M33 2021
- 082 00 |a 657.0285/631 |2 23
- 245 00 |a Machine learning applications for accounting disclosure and fraud detection / |c Stylianos Papadakis, Hellenic Mediterranean University, Greece, Alexandros Garefelakis, Hellenic Mediterranean University, Greece, Christos Lemonakis, Hellenic Mediterranean University, Greece, Christiana Chimonaki, University of Portsmouth, UK, Constantin Zopounidis, School of Production Engineering and Management, Technical University of Crete, Greece & Audencia Business School, France.
- 264 _1 |a Hershey : |b IGI Global Publisher of Timely Knowledge, |c c2021
- 300 __ |a xxi, 270 pages : |b illustrations ; |c 29 cm.
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 490 0_ |a Advances in finance, accounting, and economics (AFAE) book series.
- 504 __ |a Includes bibliographical references and index.
- 520 __ |a "This book covers the application of machine learning models to identify "quality" characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. It uses machine learning techniques in accounting disclosure (i.e. corporate financial statements) and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment"-- |c Provided by publisher.
- 650 _0 |a Auditing, Internal |x Data processing.
- 650 _0 |a Corporations |x Accounting |x Data processing.
- 650 _0 |a Fraud |x Prevention.
- 650 _0 |a Machine learning.
- 700 1_ |a Papadakis, Stylianos, |d 1970- |e editor.
- 776 08 |i Online version: |t Machine learning applications for accounting disclosure and fraud detection |d Hershey, PA : Business Science Reference, [2021] |z 9781799848066 |w (DLC) 2020018651