I’m excited to announce that I am co-organizing a new edition of the Utility-Driven Mining and Learning (UDML) workshop, which will be colocated with the IEEE International Conference on Data Mining (ICDM) 2023 in Shanghai, China.
The UDML workshop aims to bring together researchers and practitioners who are interested in developing and applying utility-driven methods for data mining and machine learning. Utility-driven methods are those that consider not only the accuracy or interestingness of the results, but also their usefulness or value for specific applications or users. For example, utility-driven methods can take into account user preferences, constraints, costs, benefits, risks, or trade-offs when mining or learning from data.
The UDML workshop will feature invited talk by a leading expert in the field, as well as contributed papers that showcase novel research ideas, methods, systems, applications, and challenges related to utility-driven mining and learning. The workshop will also provide a platform for networking and discussion among researchers and practitioners who share a common interest in this topic.
If you are working on or interested in utility-driven mining and learning, I invite you to submit your paper or poster to the UDML workshop by September 1st 2023. The submission guidelines and topics of interest can be found on the workshop website: https://www.philippe-fournier-viger.com/utility_mining_workshop_2023/
I also encourage you to attend the UDML workshop on December 4th 2023 at ICDM 2023 in Shanghai. You will have the opportunity to learn from the presentation, interact with the authors of the accepted papers and posters, and network with other participants.
I hope to see you at UDML 2023!
Philippe Fournier-Viger is a professor, data mining researcher and the founder of the SPMF data mining software, which includes more than 250 algorithms for pattern mining.