Machine learning applications for accounting disclosure and fraud detection:
"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. corpora...
Gespeichert in:
Weitere Verfasser: | , , , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
[2021]
|
Schlagworte: | |
Online-Zugang: | DE-91 DE-898 DE-706 DE-573 DE-1050 DE-1049 DE-83 Volltext |
Zusammenfassung: | "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"-- |
Beschreibung: | Includes bibliographical references and index. - Description based on title screen (IGI Global, viewed 12/19/2020) |
Beschreibung: | 1 Online-Ressource(22 1 online resource (270 pages)) |
ISBN: | 9781799848066 179984806X 9781799857853 |
Internformat
MARC
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245 | 1 | 0 | |a Machine learning applications for accounting disclosure and fraud detection |c Stylianos Papadakis, Alexandros Garefalakis, Christos Lemonakis, Christiana Chimonaki and Constantin Zopounidis, editor |
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264 | 4 | |c [2021] | |
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500 | |a Includes bibliographical references and index. - Description based on title screen (IGI Global, viewed 12/19/2020) | ||
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"-- | ||
650 | 4 | |a Auditing, Internal ; Data processing ; fast | |
650 | 4 | |a Corporations ; Accounting ; Data processing ; fast | |
650 | 4 | |a Fraud ; Prevention ; fast | |
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650 | 4 | |a Auditing, Internal |x Data processing | |
650 | 4 | |a Corporations |x Accounting |x Data processing | |
650 | 4 | |a Fraud |x Prevention | |
650 | 4 | |a Machine learning | |
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Datensatz im Suchindex
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adam_text | |
adam_txt | |
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author2 | Papadakis, Stylianos 1970- Garefalakis, Alexandros Lemonakis, Christos Chimonaki, Christiana Zopounidis, Constantin |
author2_role | edt edt edt edt edt |
author2_variant | s p sp a g ag c l cl c c cc c z cz |
author_facet | Papadakis, Stylianos 1970- Garefalakis, Alexandros Lemonakis, Christos Chimonaki, Christiana Zopounidis, Constantin |
building | Verbundindex |
bvnumber | BV047608814 |
collection | ZDB-1-IGE ZDB-98-IGB |
ctrlnum | (ZDB-1-IGE)06800950X (OCoLC)1286876478 (DE-599)BVBBV047608814 |
dewey-full | 657.0285/631 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 657 - Accounting |
dewey-raw | 657.0285/631 |
dewey-search | 657.0285/631 |
dewey-sort | 3657.0285 3631 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
format | Electronic eBook |
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id | DE-604.BV047608814 |
illustrated | Not Illustrated |
index_date | 2024-07-03T18:39:12Z |
indexdate | 2024-07-20T06:38:31Z |
institution | BVB |
isbn | 9781799848066 179984806X 9781799857853 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032993756 |
oclc_num | 1286876478 |
open_access_boolean | |
owner | DE-91 DE-BY-TUM DE-706 DE-898 DE-BY-UBR DE-1049 DE-573 DE-1050 DE-83 |
owner_facet | DE-91 DE-BY-TUM DE-706 DE-898 DE-BY-UBR DE-1049 DE-573 DE-1050 DE-83 |
physical | 1 Online-Ressource(22 1 online resource (270 pages)) |
psigel | ZDB-1-IGE ZDB-98-IGB ZDB-98-IGB TUB_EBS_IGB |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | IGI Global |
record_format | marc |
spelling | Machine learning applications for accounting disclosure and fraud detection Stylianos Papadakis, Alexandros Garefalakis, Christos Lemonakis, Christiana Chimonaki and Constantin Zopounidis, editor Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global [2021] [2021] 1 Online-Ressource(22 1 online resource (270 pages)) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index. - Description based on title screen (IGI Global, viewed 12/19/2020) "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"-- Auditing, Internal ; Data processing ; fast Corporations ; Accounting ; Data processing ; fast Fraud ; Prevention ; fast Machine learning ; fast Auditing, Internal Data processing Corporations Accounting Data processing Fraud Prevention Machine learning Papadakis, Stylianos 1970- edt Garefalakis, Alexandros edt Lemonakis, Christos edt Chimonaki, Christiana edt Zopounidis, Constantin edt Erscheint auch als Druck-Ausgabe 9781799848059 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4805-9 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Machine learning applications for accounting disclosure and fraud detection Auditing, Internal ; Data processing ; fast Corporations ; Accounting ; Data processing ; fast Fraud ; Prevention ; fast Machine learning ; fast Auditing, Internal Data processing Corporations Accounting Data processing Fraud Prevention Machine learning |
title | Machine learning applications for accounting disclosure and fraud detection |
title_auth | Machine learning applications for accounting disclosure and fraud detection |
title_exact_search | Machine learning applications for accounting disclosure and fraud detection |
title_exact_search_txtP | Machine learning applications for accounting disclosure and fraud detection |
title_full | Machine learning applications for accounting disclosure and fraud detection Stylianos Papadakis, Alexandros Garefalakis, Christos Lemonakis, Christiana Chimonaki and Constantin Zopounidis, editor |
title_fullStr | Machine learning applications for accounting disclosure and fraud detection Stylianos Papadakis, Alexandros Garefalakis, Christos Lemonakis, Christiana Chimonaki and Constantin Zopounidis, editor |
title_full_unstemmed | Machine learning applications for accounting disclosure and fraud detection Stylianos Papadakis, Alexandros Garefalakis, Christos Lemonakis, Christiana Chimonaki and Constantin Zopounidis, editor |
title_short | Machine learning applications for accounting disclosure and fraud detection |
title_sort | machine learning applications for accounting disclosure and fraud detection |
topic | Auditing, Internal ; Data processing ; fast Corporations ; Accounting ; Data processing ; fast Fraud ; Prevention ; fast Machine learning ; fast Auditing, Internal Data processing Corporations Accounting Data processing Fraud Prevention Machine learning |
topic_facet | Auditing, Internal ; Data processing ; fast Corporations ; Accounting ; Data processing ; fast Fraud ; Prevention ; fast Machine learning ; fast Auditing, Internal Data processing Corporations Accounting Data processing Fraud Prevention Machine learning |
url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-4805-9 |
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