Ren, Ogihara, and Johnson Present Papers on Big Data, Data Mining, and Consumer Electronics at IEEE 2019 in Beijing

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, Nov. 8-11, and Daniel Messinger, was a Keynote Speaker for the ICDM-TMDM Translational Multimedia Data Mining for AI-Based Medical Diagnostics Workshop.

•Joseph Johnson, Raju Parakkal, Sherry Bartz, Gang Ren, and Mitsunori Ogihara, “Survival of the Fastest: Using Sequential Pattern Analysis to Measure Efficiency of Complex Organizational Processes”
•Masaharu Goto, Naoki Kobayashi, Gang Ren, and Mitsunori Ogihara, “Multi-Scale Sequential Pattern Discovery and Alignment for Long-Duration Waveform Similarity Quantification and Interpretation”

Acoustical Society of America (ASA) Press Room 2019
•Nguyen Le Thanh Nguyen, Hyunhwan Lee, Joseph Johnson, Mitsunori Ogihara, Gang Ren, and James W. Beauchamp, “A new auditory image for social media: Moving towards correlation of spectrographic analysis and interpretation with audience perception”

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).


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