Association (frequent pattern) mining is a fruitful and important area of study that seeks (a) to discover what items (objects) appear frequently together and (b) to predict, given a set of objects, what other objects are likely to occur. Association mining has been successfully utilized for web log analysis, analysis of customer buying, biomedical knowledge mining, among others. However, a key drawback in association mining is the users need to take additional steps to make the information actionable. This includes, in many cases, detecting what differences resides between groups, such that any changes are actionable. Research in this area finds a home in a number of related areas, including discriminative pattern mining, contrast mining, emerging pattern mining, utility mining, action rule mining and subgroup discovery. The motivation in organizing this workshop at the 2021 IEEE International Conference on Big Data is to attract novel papers in the development and application of algorithms within the above fields and to encourage conversations and idea exchange between the subfields.
For the ease of use, when using Discriminative Mining, we use the term to include (but not limited to), discriminative pattern mining, contrast mining, emerging pattern mining, utility mining, action rule mining and subgroup discovery.
Topics of interest to this workshop include (but are not limited to):
- Discriminative mining and learning in big data
- Theory, applications, and core methods
- Discriminative mining in large datasets
- Predictive modeling/learning, clustering and data analysis that incorporates Discriminative mining
- Incremental and/or streaming discriminative mining
- Privacy/security in discriminative mining
- Visualization techniques for discriminative mining
- Applications of discriminative mining in healthcare, manufacturing, predictive and prescriptive maintenance, social media, etc.
Paper Format and Submission
- Please submit a full-length paper (up to 10 page IEEE 2-column format) through the online submission system.
- Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see Formatting Instructions below).
- 8.5" x 11" (Word Template)
- 8.5" x 11" (LaTex Formatting Instuctions)
- LaTex Formatting Macros
- LaTex Bibliography Files
- If working in Overleaf, the template is at https://www.overleaf.com/gallery/tagged/ieee-official. Use an IEEE Conference template.
- Paper Deadline: October 1, 2021
- Author notification: November 1, 2021
- Camera-Ready Submission: November 20, 2021
- Workshop Day: December 15-18, 2021 Exact Day To Be Determined
- Elshaimma Ali, Sysco
- Scott Brown, University of Utah
- Ho Yin Chan, University of Kansas Medical Center
- Djellel Difallah, Wikimedia Foundation
- Suresh Golconda, Oracle
- Edward Harshany, Air Force
- Jennifer Lavergne, McNeese State University
- Patrick Luckett, Washington University School of Medicine in St. Louis
- Satya Katragadda, University of Louisiana at Lafayette
- Scott McDermott, Loyola University New Orleans
- Murali Pusala, AT&T
- Vijay V. Raghavan, University of Louisiana at Lafayette