As you may know, I am one of the four co-organizers of the first international Workshop on Utility-Driven Mining (UDM2018), which will be held at KDD 2018 in London, England this August.
I am quite excited about this workshop, and in particular about the keynote speech, and the papers that have been accepted in the workshop. Here is the program of the workshop, which has been announced on the official UDM 2018 website:
Workshop time: 1:00-5:00pm, August 20, 2018.
1:00-1:10pm: Opening Remarks
1:10-2:00pm: Keynote Talk by Dr. Nitesh Chawla (University of Notre Dame)
Title: Quantifying Decision Making for Data Science: from Data Acquisition to Modeling
2:00-2:30pm: Paper Session I
- Time Series Based LSTM Model to Predict Pollutant’s Concentration and Air Quality Index In India.Vidushi
Chaudhary, Anand Deshbhratar, Vijayanand Kumar and Dibyendu Paul
- Temporal Fuzzy Utility Mining with Multiple Minimum Utility Thresholds.
Wei-Ming Huang, Tzung-Pei Hong, Jerry Chun-Wei Lin and Ming-Chao Chiang
2:30-3:00pm Coffee Break
3:00-4:40pm: Paper Session II
- Regularized Empirical EMP Maximization Framework for Profit-Driven Model Building.
Eugen Stripling, Bart Baesens and Seppe vanden Broucke
- Discovering Low-Cost High Utility Patterns.
Jiaxuan Li, Philippe Fournier-Viger, Jerry Chun-Wei Lin and Tin Truong
- EHUSM: Mining High Utility Sequences with a Pessimistic Utility Model.
Tin Truong, Anh Tran, Hai Duong, Bac Le and Philippe Fournier-Viger
- DADIL: Data Augmentation for Domain-Invariant Learning.
Shigeru Maya, Ken Ueno
- Mining High Average-Utility Itemsets Based on Particle Swarm Optimization.
Wei song and Chaomin Huang
4:40-5:00pm : Panel Discussions & Concluding Remarks
I think the workshop will be quite interesting with seven papers related to high utility pattern mining or some related topics, including papers from the industry. Hope you will attend it at KDD 2018 and that I will meet you there! In any case, after the workshop, I will present a report of the workshop on this blog.
Philippe Fournier-Viger is a professor of Computer Science and also the founder of the open-source data mining software SPMF, offering more than 145 data mining algorithms.