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Most Influential SIGMOD 2009 Paper · 2026-03 edition

MayBMS: A Probabilistic Database Management System

Jiewen Huang; Lyublena Antova; Christoph Koch; Dan Olteanu

Venue
ACM SIGMOD Conference (SIGMOD) 2009
Recognition
Most Influential SIGMOD 2009 Paper (Rank No. 15)
Edition
2026-03
Impact factor
4
Certificate ID
9c96ece1b951de55

Abstract

MayBMS is a state-of-the-art probabilistic database management system which leverages the strengths of previous database research for achieving scalability. As a proof of concept for its ease of use, we have built on top of MayBMS a Web-based application that offers NBA-related information based on what-if analysis of team dynamics using data available at www.nba.com.

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