UDML 2020 Workshop

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.

Following the success of the 1st UDM 2018 workshop and 2nd UDML 2019 workshop, the 3rd Utility-Driven Mining and Learning (UDML 2020) 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 incorporate 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 17, 2020 in Sorrento (Italy) at the IEEE ICDM 2020 conference.

All accepted papers will be published in the IEEE ICDM 2020 Workshop proceedings.

For any questions, please contact the organizing committee.

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