Joseph Johnson, Mitsunori Ogihara, Daniel Messinger, and Gang Ren (and their co-authors) presented papers at the 2019 IEEE International Conference on Data Mining in Beijing, China, (held on November 8-11). Dr. Daniel Messinger also attended and was a Keynote Speaker for the ICDM-TMDM Translational Multimedia Data Mining for AI-Based Medical Diagnostics Workshop.

Presentations

• Survival of the Fastest: Using Sequential Pattern Analysis to Measure Efficiency of Complex Organizational Processes by Joseph Johnson, Raju Parakkal, Sherry Bartz, Gang Ren, and Mitsunori Ogihara  https://ieeexplore.ieee.org/document/8955600
• Multi-Scale Sequential Pattern Discovery and Alignment for Long-Duration Waveform Similarity Quantification and Interpretation by Masaharu Goto, Naoki Kobayashi, Gang Ren, and Mitsunori Ogihara  https://ieeexplore.ieee.org/document/8955656

Acoustical Society of America (ASA) Press Room 2019

• A new auditory image for social media: Moving towards correlation of spectrographic analysis and interpretation with audience perception by Nguyen Le Thanh Nguyen, Hyunhwan Lee, Joseph Johnson, Mitsunori Ogihara, Gang Ren, and James W. Beauchamp  https://asa.scitation.org/doi/abs/10.1121/1.5136876

The presentation is first in the first session on the first day of the main conference (page 16). See also: accepted papers page (paper N209).  http://bigdataieee.org/BigData2019/AcceptedPapers.html