Bookkeeping Graphs : Computational Theory and Applications

Pierre Jinghong Liang

ISBN 10: 1638281645 / ISBN 13: 9781638281641

Verlag: Now Publishers Inc, 2023

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - Bookkeeping Graphs: Computational Theory and Applications first describes the graph or network representation of Double-Entry bookkeeping both in theory and in practice. The representation serves as the intellectual basis for a series of applied computational works on pattern recognition and anomaly detection in corporate journal-entry audit settings. The second part of the monograph reviews the computational theory of pattern recognition and anomaly detection built on the Minimum Description Length (MDL) principle. The main part of the monograph describes how the computational MDL theory is applied to recognize patterns and detect anomalous transactions in graphs representing the journal entries of a large set of transactions extracted from real-world corporate entities' bookkeeping data.

Bestandsnummer des Verkäufers 9781638281641

Bibliografische Details

• Titel: Bookkeeping Graphs : Computational Theory and Applications
• Verlag: Now Publishers Inc
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 1638281645
• ISBN-13: 9781638281641
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

Bookkeeping Graphs: Computational Theory and Applications first describes the graph or network representation of Double-Entry bookkeeping both in theory and in practice. The representation serves as the intellectual basis for a series of applied computational works on pattern recognition and anomaly detection in corporate journal-entry audit settings. The second part of the monograph reviews the computational theory of pattern recognition and anomaly detection built on the Minimum Description Length (MDL) principle. The main part of the monograph describes how the computational MDL theory is applied to recognize patterns and detect anomalous transactions in graphs representing the journal entries of a large set of transactions extracted from real-world corporate entities' bookkeeping data.