Michigan Engineering | University of Michigan Prof. Mozafari is passionate about building large-scale data-intensive systems that are more scalable, more robust, and more predictable.
Barzan Mozafari receives NSF CAREER Award to improve predictability of database systems
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Censys enables fast searching of actionable internet data
The software enables users to ask questions about the hosts and networks that compose the Internet and get an immediate reply.
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Michigan Researchers Win Best Paper Award at VLDB 2015
The paper proposes an interactive natural language interface for relational databases, which enables novice users to construct complex queries.
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Third Annual Data Mining Workshop Brings Together 100+ Researchers
100+ researchers from across the University of Michigan and from industry gathered on North Campus for the third U-M Workshop on Data Mining.