Financial Process Mining Characteristics

被引：3

作者：

Lopata, Audrius ^{[1
]}

Butleris, Rimantas ^{[1
]}

Gudas, Saulius ^{[1
]}

Rudzioniene, Kristina ^{[1
]}

Zioba, Liutauras ^{[1
]}

Veitaite, Ilona ^{[1
]}

Dilijonas, Darius ^{[2
]}

Grisius, Evaldas ^{[2
]}

Zwitserloot, Maarten ^{[3
]}

机构：

[1] Kaunas Univ Technol, Fac Informat, Student G 50, LT-51368 Kaunas, Lithuania

[2] UAB, Intellerts, Student G 3A 9, LT-50232 Kaunas, Lithuania

[3] Intellerts BV, Europalaan 400-7, NL-3526 KS Utrecht, Netherlands

来源：

INFORMATION AND SOFTWARE TECHNOLOGIES, ICIST 2022 | 2022年 / 1665卷

关键词：

Process mining; Data preparation; Finance analytics; Process discovery;

D O I：

10.1007/978-3-031-16302-9_16

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The purpose of this paper is to present continuous results of the research in financial data analysis. Many organizations face challenges by processing a colossal quantity of financial data for evaluation of the current state of the organization, for analysis of future strategies and other purposes. One of the possible ways to analyse financial data is to use process mining techniques. This paper proceeds with analysis and usage of financial data cubes dimensions using General Ledger information of particular organizations in the Netherlands. The research project is funded by European Regional Development Fund according to the 2014-2020 Operational Programme for the European Union Funds' Investments under measure No. 01.2.1-LVPA-T-848 "Smart FDI". Project no.: 01.2.1-LVPA-T-848-02-0004; Period of project implementation: 2020-06-01-2022-05-31.

引用

页码：209 / 220

页数：12

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