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
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