Social Events Analyzer (SEA): A Toolkit for Mining Social Workflows by Means of Federated Process Mining

被引:0
作者
Rojo, Javier [1 ]
Garcia-Alonso, Jose [1 ]
Berrocal, Javier [1 ]
Hernandez, Juan [1 ]
Murillo, Juan M. [1 ]
Canal, Carlos [2 ]
机构
[1] Univ Extremadura, Caceres, Spain
[2] Univ Malaga, Malaga, Spain
来源
WEB ENGINEERING (ICWE 2022) | 2022年 / 13362卷
关键词
Process mining; Pattern discovery; Social workflows; Federated process mining; DEVICES;
D O I
10.1007/978-3-031-09917-5_39
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Users' smartphones collect information about the different interactions they perform in their daily life, including web interactions. Mining this information to discover user's processes provides information about them as individuals and as part of a social group. However, analyzing events produced by human behavior, where indeterminism and variability prevail, is a complex task. Techniques such as process mining focus on analyzing customary event logs produced by a system where all the possible interactions are predefined. The analysis become even harder when it involves a group of people whose joint activity is considered part of a Social Workflow. In this demo we present Social Events Analyzer (SEA), a toolkit for easy Social Workflow analysis using a technique called Federated Process Mining. The tool offers models more faithful to the behavior of the users that make up a Social Workflow and opens the door to the use of process mining as a basis for the creation of new automatic procedures adapted to the user behavior.
引用
收藏
页码:477 / 480
页数:4
相关论文
共 43 条
  • [21] Applying Process Mining on Scientific Workflows: A Case Study on High Performance Computing Data
    Sadeghibogar, Zahra
    Berti, Alessandro
    Pegoraro, Marco
    van der Aalst, Wil M. P.
    [J]. BUSINESS PROCESS MANAGEMENT WORKSHOPS, BPM 2024, 2025, 534 : 84 - 96
  • [22] Dynamic swarm class rebalancing for the process mining of rare events
    Li, Jinyan
    Wu, Yaoyang
    Fong, Simon
    Wong, Raymond K.
    Chu, Victor W.
    Ong, Kok-leong
    Wong, Kelvin K. L.
    [J]. JOURNAL OF SUPERCOMPUTING, 2021, 77 (07) : 7549 - 7583
  • [23] Leveraging Process Mining on Service Events Towards Service Composition
    Li, Yulai
    Cai, Hongming
    Huang, Chengxi
    Bu, Fenglin
    [J]. ADVANCES IN SERVICES COMPUTING, APSCC 2015, 2015, 9464 : 195 - 209
  • [24] Dynamic swarm class rebalancing for the process mining of rare events
    Jinyan Li
    Yaoyang Wu
    Simon Fong
    Raymond K. Wong
    Victor W. Chu
    Kok-leong Ong
    Kelvin K. L. Wong
    [J]. The Journal of Supercomputing, 2021, 77 : 7549 - 7583
  • [25] An Ontology-based Approach to Social Networks Mining
    Lanin, Viacheslav
    Lyadova, Lyudmila
    Zamyatina, Elena
    Vostroknutov, Nikita
    [J]. PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT (KEOD), VOL 2, 2021, : 234 - 239
  • [26] Discovering Social Networks Instantly: Moving Process Mining Computations to the Database and Data Entry Time
    Syamsiyah, Alifah
    van Dongen, Boudewijn F.
    van der Aalst, Wil M. P.
    [J]. ENTERPRISE, BUSINESS-PROCESS AND INFORMATION SYSTEMS MODELING, BPMDS 2017 AND EMMSAD 2017, 2017, 287 : 51 - 67
  • [27] Measuring data-centre workflows complexity through process mining: the Google cluster case
    Damián Fernández-Cerero
    Ángel Jesús Varela-Vaca
    Alejandro Fernández-Montes
    María Teresa Gómez-López
    José Antonio Alvárez-Bermejo
    [J]. The Journal of Supercomputing, 2020, 76 : 2449 - 2478
  • [28] Measuring data-centre workflows complexity through process mining: the Google cluster case
    Fernandez-Cerero, Damian
    Jesus Varela-Vaca, Angel
    Fernandez-Montes, Alejandro
    Teresa Gomez-Lopez, Maria
    Antonio Alvarez-Bermejo, Jose
    [J]. JOURNAL OF SUPERCOMPUTING, 2020, 76 (04) : 2449 - 2478
  • [29] Events Analysis Based on Internet Information Retrieval and Process Mining Tools
    Shalyaeva, Irina
    Lyadova, Lyudmila
    Lanin, Viacheslav
    [J]. 2016 IEEE 10TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT), 2016, : 168 - 172
  • [30] How social challenges affect children's regulation and assignment quality in hypermedia: a process mining study
    Paans, Cindy
    Onan, Erdem
    Molenaar, Inge
    Verhoeven, Ludo
    Segers, Eliane
    [J]. METACOGNITION AND LEARNING, 2019, 14 (02) : 189 - 213