First International Workshop on Event Data and
Behavioral Analytics

Padua, Italy, 5 October 2020

Co-located at ICPM 2020

Due to the exceptional circumstances of the COVID-19 outbreak, both EdbA 2020 and the main conference ICPM 2020 will be a fully virtual conference, with no travel involved. However, the entire program, including the co-located events, will be retained, and will not change.
With the spirit of keeping the entire conference as interactive as possible, presentations will be given live using webinars. The presentations will also be broadcasted, and also available after the conference for off-line viewing. Attendees will be able to ask questions, which will be answered at the end of each presentation. When multiple sessions run in parallel (e.g., workshops), the conference will feature parallel virtual rooms.
01

Event Data

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.

02

Behavioral Analytics

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. 

03

Our Focus

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.

04

Topics

  • Augmentation of fine-grained event data to higher order activities or behavior
  • Storage, integration, and querying of behavioral event data
  • Representation and analysis of event data without a unique case identifier (without case identifier or with multiple case identifiers present)
  • Monitoring and detection of complex behavior
  • Diagnosis of behavior, including root-cause analysis, variance analysis, cluster analysis and many other exploratory analysis techniques
  • Visual analytics of (complex) behavior
  • Behavior Pattern detection, e.g., in real-time location data or other types of context-rich data
  • Outlier Behavior Detection
  • Behavior Prediction
  • Prescriptive analytics which predicts behavior and prescribes which action could steer behavior in a specific direction
  • ...