Behavior pattern mining: Apply process mining technology to common event logs of information systems

被引:0
|
作者
Song, Jinliang [1 ]
Luo, Tiejian [1 ]
Chen, Su [1 ]
机构
[1] Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Although information systems support a wide range of recreational and social activities, the pattern of users' behavior in such systems is not clear. We extend the process mining technology to work on common event logs that have no workflow cases reference, and name the new technology as behavior pattern mining. This paper gives out a brief survey on issues, challenges, approaches and related tools in behavior pattern mining area, and compares behavior pattern mining with workflow mining technology, which is the other sub field of process mining. To reply the problems proposed by behavior pattern mining, the process mining area gets its new motivation.
引用
收藏
页码:1800 / 1805
页数:6
相关论文
共 50 条
  • [21] Repairing Event Logs to Enhance the Performance of a Process Mining Model
    Shahzadi, Shabnam
    Fang, Xianwen
    Shahzad, Usman
    Ahmad, Ishfaq
    Benedict, Troon
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [22] Mining Timing Constraints from Event Logs for Process Model
    Zhang, Zhenyu
    Guo, Chunhui
    Ren, Shangping
    2020 IEEE 44TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE (COMPSAC 2020), 2020, : 1011 - 1016
  • [23] A Method to Tackle Abnormal Event Logs Based on Process Mining
    Yang, Zhanmin
    Zhang, Liqun
    Hu, Yuan
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, KNOWLEDGE ENGINEERING AND INFORMATION ENGINEERING (SEKEIE 2014), 2014, 114 : 34 - 38
  • [24] Mining Event Logs to Assist the Development of Executable Process Variants
    Nguyen Ngoc Chan
    Yongsiriwit, Karn
    Gaaloul, Walid
    Mendling, Jan
    ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2014), 2014, 8484 : 548 - 563
  • [25] Process mining: How to extract knowledge from the process-oriented information systems logs
    Van Der Aalst, W.M.P.
    Burattin, A.
    De Leoni, M.
    Guzzo, A.
    Maggi, F.M.
    Montali, M.
    Mondo Digitale, 2012, 11 (03):
  • [26] Generating event logs from non-process-aware systems enabling business process mining
    Perez-Castillo, Ricardo
    Weber, Barbara
    Pinggera, Jakob
    Zugal, Stefan
    Garcia-Rodriguez de Guzman, Ignacio
    Piattini, Mario
    ENTERPRISE INFORMATION SYSTEMS, 2011, 5 (03) : 301 - 335
  • [27] Ontology-driven multilevel sequential pattern mining: mining for gold in event logs of photovoltaic plants
    Dagnely, Pierre
    Ruette, Tom
    Tourwe, Tom
    Tsiporkova, Elena
    2018 9TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS (IS), 2018, : 1 - 7
  • [28] Mining event logs with SLCT and LogHound
    Vaarandi, Risto
    2008 IEEE NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, VOLS 1 AND 2, 2008, : 1071 - 1074
  • [29] A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs
    de Leoni, Massimiliano
    van der Aalst, Wil M. P.
    Dees, Marcus
    INFORMATION SYSTEMS, 2016, 56 : 235 - 257
  • [30] Deciphering event logs in SharePoint Server: A methodology based on Process Mining
    Arias Chaves, Michael
    Rojas Cordoba, Eric
    PROCEEDINGS OF THE 2014 XL LATIN AMERICAN COMPUTING CONFERENCE (CLEI), 2014,