The 2013 ACM SIGMOD/PODS Conference: New York, New York, USA - Welcome
Conference Program: SIGMOD Sessions This page describes the complete SIGMOD Conference program. Please use the following links to skip to the sessions of interest: Research Sessions Industry Sessions Tutorials Demonstrations Keynote Talks and Research Plenary Session Undergraduate Research Poster Competition New Researcher Symposium SIGMOD RESEARCH SESSIONS Research 1: Data Analytics Location: 3.1
Hazy: Making it Easier to Build and Maintain Big-data Analytics - ACM Queue
January 23, 2013 Volume 11, issue 1 PDF Hazy: Making it Easier to Build and Maintain Big-data Analytics Racing to unleash the full potential of big data with the latest statistical and machine-learning techniques. Arun Kumar, Feng Niu, and Christopher Ré, Department of Computer Sciences, University of Wisconsin-Madison The rise of big data presents both big opportunities and big challenges in doma
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