Data Science Research (DSR) Lab at the University of Florida focuses on large-scale data management, data mining and data analysis using technologies from database management …

Research Areas: Probabilistic databases, Probabilistic knowledge bases, in-database information extraction, large-scale advanced data analysis, and query-driven interactive machine learning

She currently pursues research topics such as probabilistic databases, probabilistic knowledge bases, large-scale inference engines, query-driven interactive machine learning, and crowd …

This line of research on supporting large-scale automatically extracted knowledge bases is of high impact for many application domains from medical informatics to ecology. We have received …

[Sept 2016] NIST sponsors UF faculty Prof. Daisy Zhe Wang and Prof. Ethan White as PIs for developing a new Data Science Evaluation track for Fall 2017 on Data Science for Plant …

She currently pursues research topics such as probabilistic databases, probabilistic knowledge bases, large-scale inference engines, query-driven interactive machine learning, and crowd …

She currently pursues research topics such as probabilistic databases, probabilistic knowledge bases, large-scale inference engines, query-driven interactive machine learning, and crowd …

MADLib makes GPText capable of doing sophisticated text data analysis tasks, such as part-of-speech tagging, named entity recognition, document classification and topic modeling with a …

We’ll explore the research of Sun et al. for supporting examples. Figure 1, a graph from Sun’s work shows the progression of state of the art CNNs between 2012 and 2016.

Student from the DSR Lab and my Data Science courses are excited to continue our contribution! My research on “ Efficient Query Processing over Large Probabilistic Knowledge Bases ” is …