Advanced Descriptive Pattern Mining

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, over the years, a number of novel methods have been devised to expand the capabilities and scope of “association-like” descriptive patterns and rules. These advanced descriptive pattern methods include sequence mining, action rule mining, contrast patterns, utility mining, rare rule mining and targeted mining, among others. The motivation in organizing this workshop at the 2022 IEEE International Conference on Big Data is to attract novel papers in the development and application of advanced algorithms within the above subfields and to encourage conversations and idea exchange between the subfields.

This workshop is interested in papers involving theory, novel methods, and/or applications of advanced descriptive pattern mining. Topics of interest include (but are not limited to):

• Action Rule Mining
• Utility Mining
• Rare Rule Mining
• Sequence Mining
• Discriminative Pattern Mining
• Contrast Mining
• Emerging Pattern Mining
• Subgroup discovery
• Incremental and/or streaming for advanced descriptive pattern mining
• Privacy/security for advanced descriptive pattern mining
• Visualization techniques for advanced descriptive pattern mining

Paper Format and Submission

• Please submit a full-length paper (up to 10 page IEEE 2-column format) through the online submission system (LINK TO BE PROVIDED).
  
• Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see Formatting Instructions below).
  

Formatting Instructions (from IEEE Manuscript Templates)

• 8.5" x 11" (Word Template)
• LaTex
• 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.

Important Dates

Workshop Chairs

• Ryan Benton, School of Computing, University of South Alabama
• Jennifer Lavergne, Department of Engineering and Computer Science, McNeese State University
• Tom Johnsten, School of Computing, University of South Alabama

Program Committee

• Scott Brown, University of Utah
• Ho Yin Chan, University of Kansas Medical Center
• Jing Chen, Athens State University
• Suresh Choubey, self-employed
• Subasish Das, Texas A&M Transportation Institute
• Ed Harshany, Air Force
• Blake Johns, Dynetics
• Scott McDermott, Loyola University New Orleans
• Murali Pusala, AT&T
• Scott Sittig, University of Louisiana at Lafayette
• Thomas Watts, The SSI Group