data mining – Frost Institute for Data Science & Computing

Data Citizens: A Distinguished Lecture Series Begins with Mira…

Internationally renowned Israeli researcher Mira Marcus-Kalish, PhD, Director, International Research Affairs, Tel Aviv University, opens IDSC ’s new Data Citizens: A Distinguished Lecture Series with a talk on “Medical Informatics—Promise and Barriers towards Precise Medicine” at 10:00 AM (to 12:00 noon Eastern time) on Monday, November 23. Read more “Data Citizens: A Distinguished Lecture Series Begins with Mira Marcus-Kalish 11/23” →

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Data Citizens: A Distinguished Lecture Series Begins with Mira…

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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. Read more “ICDM-TMDM 2019 Workshop 11/8-11 in Beijing” →

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Data Mining & SSI Present Paper at CVPR

Mitsunori Ogihara (Director) and Gang Ren (Postdoctoral Associate) of Big Data Analytics and Data Mining program, and Daniel Messinger, Program Director of Social Systems Informatics, presented an interdisciplinary paper (TITLE: “Categorical Timeline Allocation and Alignment for Diagnostic Head Movement Tracking Feature Analysis”) together at the workshop on Face and Gesture Analysis for Health Informatics (FGAHI) at CVPR 2019 (Computer Vision and Pattern Recognition, part of IEEE CVF) 2019, on June 16-21, 2019 in Long Beach, California. Read more “Data Mining & SSI Present Paper at CVPR” →

Publications

Mining Library and University Data to Understand Library Use…

Library data are often hard to analyze because these data come from unconnected sources, and the data sets can be very large. Furthermore, the desire to protect user privacy has prevented the retention of data that could be used to correlate library data to non-library data. The research team used data mining to determine library use patterns and to determine whether library use correlated to students’ grade point average. Read more “Mining Library and University Data to Understand Library Use Patterns” →

Presentations

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. Read more “Clustering Stability: Impossibility and Possibility” →

Team - Social Systems Informatics

Featured Scientist Mitsunori Ogihara, PhD

Dr. Mitsunori Ogihara joined the University of Miami in 2007 as Professor in the Department of Computer Science and as Program Director of the Big Data Analytics & Data Mining Program within the Center for Computational Science. More recently, he was appointed Associate Dean for Digital Library Innovation in the College of Arts and Sciences.

Team – Drug Discovery

Featured Scientist Qiong Cheng, PhD

Dr. Qiong Cheng joined the University of Miami’s Center for Computational Science in February 2014. Dr. Cheng graduated from Georgia State University in December 2009 with a PhD in Computer Science. Upon graduating, She spent a little over a year training in CCS and then began work as a researcher with the Department of Computer Science at the University of Illinois in Urbana-Champaign.

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