Ren, Ogihara, and Johnson Present Papers at IEEE 2019 in Beijing

Beijing China

Ren, Ogihara, and Johnson Present Papers at IEEE 2019…

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.


  • 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
  • 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

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

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).