Over the past decades, capturing, storing and analyzing event data has gained attention in various domains such as process mining, clickstream analytics, IoT analytics, e-commerce and retail analytics, online gaming analytics, security analytics, website traffic analytics and preventive maintenance to name a few.
Event data at different levels of granularity are considered, ranging from frequent sensor-based events in IoT settings to recordings of aggregate or long-running behavior involving time intervals and rich information.
The interest in event data lies in its analytical potential to capture the dynamic behavior of people, objects and/or systems at a fine-grained level.
Behavior often involves multiple entities, objects, and actors to which events can be correlated in various ways. In these situations, a unique explicit process notion does either not exist, is unclear or different processes or dynamics could be recorded in the same dataset.
The Event Data & Behavioral Analytics (EdbA) workshop considers as its starting point the presence of event data being recorded at various sources and contexts, being stored in various forms, and being considered for analysis of behavior of various kinds.
The workshop aims to further the development of new (or the novel application of existing) techniques, algorithms and data structures for recording, storing, managing, processing, analyzing, and visualizing event data in various forms. The workshop welcomes different types of submissions, i.e. original research papers, case study reports, position papers, idea papers, challenge papers and WiP papers on event data and behavioral analytics.