[DBWorld] Second International Workshop on Event Data and Behavioral Analytics - EDBA21 - Call for papers

============ EdbA'21 ================
Second International Workshop on Event Data and Behavioral Analytics
Eindhoven, the Netherlands, 1 November 2021
co-located with ICPM 2021
Website: http://edba.science

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, smart homes and offices, just to name a few. It even resulted in the birth of new research domains such as behavioral informatics, behavioral analytics and behavioral operations research. The interest in event data lies in its analytical potential as it captures the dynamic behavior of people, objects and/or systems at a fine-grained level.

While each of these domains have their own applications and idiosyncrasies, they share the common denominator of event data and the objective to analyze behavior. Yet, these domains also differ in underlying assumptions and techniques used. Therefore, the objective of this workshop is to provide a forum to practitioners and researchers for studying a quintessential, minimal notion of events as the common denominator for records of discrete behavior in all its forms, and to study, develop and discuss techniques and methods for behavioral analytics based on all kinds of events. 

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. 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. 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 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 two types of submissions, i.e. original research papers as well as case study reports on event data and behavioral analytics.

The topics considered in the workshop consist of, but are not limited to:

- 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

========= Important Dates ============

Deadline Abstract Submission: August 19, 2021 (Anywhere on Earth)
Deadline Paper Submission: August 26, 2021 (Anywhere on Earth)
Paper Acceptance Notification: September 16, 2021
Pre-Workshop Camera Ready Version: September 30, 2021 (Anywhere on Earth)
EdbA Workshop: November 1, 2021
Post-Workshop Camera Ready Version: November 16, 2021 (Anywhere on Earth)

========= Organizing Committee =============
Depaire Benoît, Hasselt University, Belgium
Fahland, Dirk, Eindhoven University of Technology, the Netherlands
Leotta, Francesco, Sapienza University of Rome, Italy
Senderovich, Arik, University of Toronto, Canada

========== Submission ================
We are interested in original research papers, case study reports, position papers, idea papers, challenge papers and WiP papers. Submissions must use the Springer LNCS/LNBIP ​format available at https://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0 and cannot exceed 12 pages. Only papers in English will be considered and must present original research contributions not concurrently submitted elsewhere. Papers must be submitted electronically via the EasyChair portal https://easychair.org/conferences/?conf=icpm2021. All accepted papers will appear in the workshop proceedings published by Springer in the Lecture Notes in Business Information Processing (LNBIP) series.
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