Scope of the workshop
Utility-driven mining and learning from data has received emerging attentions from KDD communities due to its high potential in wide applications, covering finance, biomedicine, manufacturing, e-commerce, social media, etc. Current research topics in utility-driven mining focused primarily on discovering patterns of high value (eg, high profit) in large databases, or analyzing/learning the important factors (eg, economic factors) in the data mining process. One of the popular applications of utility mining and learning is the analysis of large transactional databases to discover high-utility itemsets, which consist of sets of items that generate a high profit when purchased together.
The workshop aims at bringing together academic and industrial researchers and practitioners from data mining, machine learning and other interdisciplinary communities, in the collaborative effort of identifying and discussing major technical challenges, recent results and potential topics on the emerging fields of Utility-Driven Mining and Learning. This workshop will focus on real world experiences, inherent challenges, as well as new research methods/applications desired.
The Utility-Driven Mining and Learning (UDML) workshop will discuss a broad variety of topics related to utility-driven mining and learning, including:
- Theory and core methods for utility mining and learning
- Utility patterns mining in large datasets, e.g., high-utility itemset mining, high-utility sequential patterns/rules mining, high-utility episode mining, and other novel patterns
- Analysis and learning of novel utility factors in mining and learning process
- Predictive modeling/learning, clustering and link analysis that incorporates utility factors
- Incremental utility mining and learning
- Utility mining and learning in streams
- Utility mining and learning in uncertain systems
- Utility mining and learning in big data
- Knowledge representations for utility patterns
- Privacy-preserving utility mining/learning
- Visualization techniques for utility mining/learning
- Open-source software/libraries/platform
- Innovative applications in interdisciplinary domains, like finance, biomedicine, healthcare, manufacturing, e-commerce, social media, education, etc.
- New, open, or unsolved problems in utility-driven mining
The workshop will be held on November 8, 2019 in Beijing (China ) at the IEEE ICDM 2019 conference.
All accepted papers will be published in the IEEE ICDM 2019 Workshop proceedings. Moreover, authors of selected papers will be invited to submit an extended version to a special issue of the IEEE Access journal.
Submissions are limited to 10 pages, and must be formatted according to the IEEE 2-column format(link)
Papers will be evaluated based on the evaluation criteria of the main IEEE ICDM 2019 conference for research papers.
In particular, papers must present original research that is not under consideration in other journals, conferences and workshops.
To submit a paper, please use the online submission system.