Visual Analytics Meets Process Mining: Challenges and Opportunities

被引:9
作者
Gschwandtner, Theresia [1 ]
机构
[1] Vienna Univ Technol, CVAST, Vienna, Austria
来源
DATA-DRIVEN PROCESS DISCOVERY AND ANALYSIS, SIMPDA 2015 | 2017年 / 244卷
关键词
Visual process mining; Visual analytics; Challenges; VISUALIZATIONS; DEFINITION; SEQUENCES;
D O I
10.1007/978-3-319-53435-0_7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Event data or traces of activities often exhibit unexpected behavior and complex relations. Thus, before and during the application of automated analysis methods, such as process mining algorithms, the analyst needs to investigate and understand the data at hand in order to decide which analysis methods might be appropriate. Visual analytics integrates the outstanding capabilities of humans in terms of visual information exploration with the enormous processing power of computers to form a powerful knowledge discovery environment. The combination of visual data exploration with process mining algorithms makes complex information structures more comprehensible and facilitates new insights. In this position paper I portray various concepts of interactive visual support for process mining, focusing on the challenges, but also the great opportunities for analyzing process data with visual analytics methods.
引用
收藏
页码:142 / 154
页数:13
相关论文
共 50 条
[21]   ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era [J].
Shi, Lei ;
Tong, Hanghang ;
Wang, Chaoli ;
Akoglu, Leman .
CIKM'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 2016, :2509-2509
[22]   SuPoolVisor: a visual analytics system for mining pool surveillance [J].
Jia-zhi Xia ;
Yu-hong Zhang ;
Hui Ye ;
Ying Wang ;
Guang Jiang ;
Ying Zhao ;
Cong Xie ;
Xiao-yan Kui ;
Sheng-hui Liao ;
Wei-ping Wang .
Frontiers of Information Technology & Electronic Engineering, 2020, 21 :507-523
[23]   SuPoolVisor: a visual analytics system for mining pool surveillance [J].
Xia, Jia-zhi ;
Zhang, Yu-hong ;
Ye, Hui ;
Wang, Ying ;
Jiang, Guang ;
Zhao, Ying ;
Xie, Cong ;
Kui, Xiao-yan ;
Liao, Sheng-hui ;
Wang, Wei-ping .
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2020, 21 (04) :507-523
[24]   Trace Alignment in Process Mining: Opportunities for Process Diagnostics [J].
Bose, R. P. Jagadeesh Chandra ;
van der Aalst, Wil M. P. .
BUSINESS PROCESS MANAGEMENT, 2010, 6336 :227-242
[25]   VISUAL ANALYTICS FOR THE STRATEGIC DECISION MAKING PROCESS [J].
Kohlhammer, Joern ;
May, Thorsten ;
Hoffmann, Marcus .
GEOSPATIAL VISUAL ANALYTICS: GEOGRAPHICAL INFORMATION PROCESSING AND VISUAL ANALYTICS FOR ENVIRONMENTAL SECURITY, 2009, :299-+
[26]   Visual Analytics for Soundness Verification of Process Models [J].
Caballero, Humberto S. Garcia ;
Westenberg, Michel A. ;
Verbeek, Henricus M. W. ;
van der Aalst, Wil M. P. .
BUSINESS PROCESS MANAGEMENT WORKSHOPS (BPM 2017), 2018, 308 :744-756
[27]   A Correlative Analysis Process in a Visual Analytics Environment [J].
Malik, Abish ;
Maciejewski, Ross ;
Jang, Yun ;
Huang, Whitney ;
Elmqvist, Niklas ;
Ebert, David S. .
2012 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST), 2012, :33-42
[28]   Big Data Visualisation and Visual Analytics for Music Data Mining [J].
Barkwell, Katrina E. ;
Cuzzocrea, Alfredo ;
Leung, Carson K. ;
Ocran, Ashley A. ;
Sanderson, Jennifer M. ;
Stewart, James Ayrton ;
Wodi, Bryan H. .
2018 22ND INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV), 2018, :235-240
[29]   Analysis of Mining, Visual Analytics Tools and Techniques in Space and Time [J].
Nandhini, K. ;
Shanthi, I. Elizabeth .
PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION TECHNOLOGIES, IC3T 2015, VOL 2, 2016, 380 :547-556
[30]   Text mining and visual analytics in research: Exploring the innovative tools [J].
Rabbani, Mustafa Raz A. ;
Bashar, Abu ;
Atif, Mohd ;
Jreisat, Ammar ;
Zulfikar, Zehra ;
Naseem, Yusra .
2021 INTERNATIONAL CONFERENCE ON DECISION AID SCIENCES AND APPLICATION (DASA), 2021,