Workflow mining: A survey of issues and approaches

被引：598

作者：

van der Aalst, WMP

van Dongen, BF

Herbst, J

Maruster, L

Schimm, G

Weijters, AJMM

机构：

[1] Eindhoven Univ Technol, Dept Technol Management, NL-5600 MB Eindhoven, Netherlands

[2] DaimlerChrysler AG, Res & Technol, D-89013 Ulm, Germany

[3] OFFIS, D-26121 Oldenburg, Germany

来源：

DATA & KNOWLEDGE ENGINEERING | 2003年 / 47卷 / 02期

关键词：

workflow mining; workflow management; data mining; Petri nets;

D O I：

10.1016/S0169-023X(03)00066-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Many of today's information systems are driven by explicit process models. Workflow management systems, but also ERP, CRM, SCM, and B2B, are configured on the basis of a workflow model specifying the order in which tasks need to be executed. Creating a workflow design is a complicated time-consuming process and typically there are discrepancies between the actual workflow processes and the processes as perceived by the management. To support the design of workflows, we propose the use of workflow mining. Starting point for workflow mining is a so-called "workflow log" containing information about the workflow process as it is actually being executed. In this paper, we introduce the concept of workflow mining and present a common format for workflow logs. Then we discuss the most challenging problems and present some of the workflow mining approaches available today. (C) 2003 Elsevier B.V. All rights reserved.

引用

页码：237 / 267

页数：31

共 50 条

[31] Log-based transactional workflow mining [J].

Gaaloul, Walid ;

Gaaloul, Khaled ;

Bhiri, Sami ;

Haller, Armin ;

Hauswirth, Manfred .

DISTRIBUTED AND PARALLEL DATABASES, 2009, 25 (03) :193-240

[32] A state-of-the-art survey of malware detection approaches using data mining techniques [J].

Souri, Alireza ;

Hosseini, Rahil .

HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES, 2018, 8

[33] Comprehensive Survey on Privacy Preserving Association Rule Mining: Models, Approaches, Techniques and Algorithms [J].

Alwatban, Ibrahim S. ;

Emam, Ahmed Z. .

INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2014, 23 (05)

[34] Process Mining Algorithms for Clinical Workflow Analysis [J].

Tibeme, Bernis ;

Shahriar, Hossain ;

Zhang, Chi .

IEEE SOUTHEASTCON 2018, 2018,

[35] Organizational Management in Workflow Applications – Issues and Perspectives [J].

Michael Zur Muehlen .

Information Technology and Management, 2004, 5 (3-4) :271-291

[36] Research and development in web usage mining system--key issues and proposed solutions: A survey [J].

Zhang, F ;

Chang, HY .

2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, 2002, :986-990

[37] Data Mining and Text Mining - A Survey [J].

Suresh, R. ;

Harshni, S. R. .

2017 INTERNATIONAL CONFERENCE ON COMPUTATION OF POWER, ENERGY INFORMATION AND COMMUNICATION (ICCPEIC), 2017, :412-419

[38] Issues in Modeling for data mining [J].

Lin, TY .

26TH ANNUAL INTERNATIONAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE, PROCEEDINGS, 2002, :1152-1157

[39] Mining workflow recovery from event based logs [J].

Gaaloul, W ;

Godart, C .

BUSINESS PROCESS MANAGEMENT, PROCEEDINGS, 2005, 3649 :169-185

[40] Using a Deep Understanding of Network Activities for Workflow Mining [J].

Lange, Mona ;

Kuhr, Felix ;

Moeller, Ralf .

KI 2016: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2016, 9904 :177-184

← 1 2 3 4 5 →