During the 20 years since the first international workshop on knowledge discovery in inductive databases (co-located with ECML/PKDD 2002 in Helsinki), the inductive discovery of knowledge from data has been enriched with new concepts and methods. By leaving more room for interaction with the user, or on the contrary by being more automatic (less dependent on the arbitrariness of values that are difficult to set), pattern mining has explored different directions, both principled and applied. The workshop will cover all the areas that were born, more or less, from the concept of inductive databases, a term little used today but whose concepts are nevertheless very fruitful.
The purpose of the workshop is to bring together researchers and practitioners of data mining and machine learning interested in principle-based methods for data analysis. We welcome submissions focusing on recent advances and latest developments in this area of research. Submissions describing preliminary, promising studies and recently accepted papers are also welcome.
A non-exclusive list of topics is:
- Foundations on pattern mining, pattern usage, and pattern understanding
- Pattern mining for Data Science
- Interpretable Data Mining
- Subgroup discovery
- Incorporating domain knowledge into pattern mining
- Interactive pattern mining
- Mining stream, time-series and sequence data
- Mining networks and graphs
The workshop will take place on September 23, 2022. Note that at least one author of each accepted paper should register for the ECMLPKDD 2022 conference.
Submission and deadlines
- Workshop paper submission deadline: 20 June 2022
- Workshop paper acceptance notification: 13 July 2022
Submission Procedure
Short Papers
We anticipate short papers of up to 6 pages including references following the Springer LNCS formatting requirements
Long Papers
We anticipate long papers of up to 16 pages including references following the Springer LNCS formatting requirements
Please submit your paper in PDF format via our EasyChair submission page.
Accepted contributions will be made available electronically through the Workshop web page. Also, post-proceedings will be published in CEUR workshop proceeding ( http://ceur-ws.org).