Posts Tagged "data mining"

ICDM-TMDM 2019 Workshop 11/8-11 in Beijing

Translational Multimedia Data Mining for AI-Based Medical Diagnostics - Bridging Digital Intelligence with Clinical Practices (TMDM for short) is a WORKSHOP collocated with ICDM 2019 (November 8 – 11, 2019) in Beijing, China.   Objective   Recent developments of health informatics and digital medical diagnostics have accumulated a large amount of multimedia data. Typical examples include the face/gesture videos, medical scan...

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Data Mining and Social Systems Informatics Present Paper at CVPR 2019

"Categorical Timeline Allocation and Alignment for Diagnostic Head Movement Tracking Feature Analysis"   Mitsunori Ogihara (Program Director) and Gang Ren (Postdoctoral Associate) of CCS's Big Data Analytics and Data Mining program, and Daniel Messinger, Program Director of CCS Social Systems Informatics, will present an interdisciplinary paper together at the workshop on Face and Gesture Analysis for Health Informatics (FGAHI)...

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¡AZUCAR! New Grant to Expand Cuban Theater Digital Archive

The University of Miami Libraries has received a two-year $260,000 grant from the Andrew W. Mellon Foundation to support software development that will expand the functionality of the Cuban Theater Digital Archives. Dr. Mitsunori Oghihara, CCS director of data mining and associate dean for digital library innovations in the College of Arts and Sciences, will oversee the development of various software components that will add metadata...

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Featured Scientist – Mitsunori Ogihara, PhD

Dr. Mitsunori Ogihara is Director of the Data Mining Group in the Center for Computational Science.  He holds the rank of Professor of Computer Science in the College of Arts and Sciences and is a Professor of Electric and Computer Engineering in the College of Engineering.  On January 1, 2012, he began serving as Associate Dean for Digital Library Innovations in the College of Arts and Sciences, a position supported jointly by the...

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Clustering Stability: Impossibility and Possibility This presentation was addressed to a specialized audience of people in Data Mining and Machine Learning. The talk provided a theory that showed how clustering stability can be used to choose the correct number of clusters, as well as demonstrate the importance of cluster stability and discussed the use of stability for clustering evaluation. Bertrand Salem Clarke (UM), Hoyt Koepke...

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