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- 1Aboriginal identification
- 1Cancer screening
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- 1Electric vehicle
- 1Ethnicity classification
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Public Health Applications Using Big Data and Machine Learning Methods: Name- and Location-based Aboriginal Ethnicity Classification and Sentiment Analysis of Breast Cancer Screening in the United States Using Twitter
DownloadFall 2017
Applications using big data and machine learning techniques are transforming how people live in the 21st century, however they are generally underutilized in public health compared to other domains. We proposed and conducted two independent studies to investigate how big data and machine learning...
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Fall 2016
Big data applications demand and consequently lead to developments of diverse scalable data management systems, ranging from NoSQL systems to the emerging NewSQL systems. In order to serve thousands of applications and their huge amounts of data, data management systems must be capable of...
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Separating-Plane Factorization Models: Scalable Recommendation from One-class Implicit Feedback
DownloadFall 2016
We study the large-scale video recommendation problem based on user viewing logs instead of explicit ratings. As viewing records are implicitly positive samples, existing matrix factorization methods fail to generate discriminative recommendations based on such one-class data. We propose a...
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Spring 2016
How can the principles and concepts applied by visual communication designers be used to assist in exploring and understanding the massive, complex volumes of data now available to Digital Humanities researchers? One method we might employ to help us more easily comprehend the implications of...
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Fall 2019
The traditional electric grid based on centralized generation plants and unidirectional transmission and distribution systems is transitioning to a smart grid that is decentralized and multidirectional with high integration of information and communication technologies. With the rapid development...