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Home › data science
  • UDA-GIST: Unified Data-Parallel and State-Parallel Analytics in DB

    November 12, 2014     Comment Closed     publications, research directions

    Kun Li This work is recently accepted, to appear in Proceedings of VLDB 2015 Vol 8 Issue 5 and to be presented in Kona in September 2015. This is part of our continued effort to enable large-scale advanced statistical machine learning based analytics inside a DBMS system/SQL engine. — With the recent boom in Big

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  • Research Directions in the UF DSR Lab

    Daisy Zhe Wang September 13, 2013     No Comment     research directions

    Daisy Zhe Wang I recently wrote an article for the CISE department newsletter describing various research work we do in the DSR Lab. In particular, I highlighted the knowledge base expansion work we are doing in collaboration with Google Research, and the TREC knowledge base acceleration competition we participated in the summer. Use this I

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  • Home

    July 31, 2013     Comment Closed    

    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 Systems (DBMS’s), Statistical Machine Learning (SML), and Information Visualization. Such research in a Big Data era is called Data Science, which is a profession, a research agenda, as well as a sport! The

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Recent Posts

  • DBSim: Extensible Database Simulator for Fast Prototyping In-Database Algorithms
  • DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries
  • A Brief Overview of Weak Supervision
  • DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
  • IDTrees Data Science Challenge: 2017

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Recent Posts

  • DBSim: Extensible Database Simulator for Fast Prototyping In-Database Algorithms
  • DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries
  • A Brief Overview of Weak Supervision
  • DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
  • IDTrees Data Science Challenge: 2017