Big Data Management and Mining Laboratory

At BDLab (Big Data Management and Mining Laboratory), we have organized our research and education around two tracks: a Data Science track, and a Data Management and Mining track. With the Data Science track, we engage with real-world problems that can benefit from data-driven solutions (consisting of all data scientific life-cycle components), given various combinations of the Big Data V5 challenges. Toward this end, we have experienced with a number of data-driven decision-making systems (DDSs) from various application areas, such as health informatics, computational genetics, IoT, intelligent transportation, and scientific computing. The Data Science track complements the Data Management and Mining track by providing practical real-world problems, which we generalize, formalize, and rigorously study as novel data management and mining problems. In particular, we have special interest in the following areas (among others): spatiotemporal data management and mining, graph data management and mining, high-throughput data management and mining using modern hardware, and next generation database engines (or NewSQL).​


Our Team!

Meet the BDLab faculty and students



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Learn about BDLab education tracks



Browse BDLab publications


News News (See More)

  • BDLab’s Smart Conversation Apps are released (see!

    VoxScholar has released its first two apps, CU Study Skills and CU Faculty Development. These apps make it possible for faculty and students to talk to Google Assistant to receive study tips or to get information on faculty development topics.

    You can read the full article here.

  • BDLab sleep classifier highlighted in Denver Post article

    The future human body may not arrive in a box on your apartment stoop tomorrow, but when it eventually does get here, don’t be surprised if what we get is cooler than what you saw on the movie screen.

    You can read the full article here.

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Readings Readings

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