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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
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DTSTART:20131122T153000Z
DTEND:20131122T190000Z
LOCATION:501/502
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:ABSTRACT: While advances in technology have led to an unprecedented ability to collect, compute, and store huge amounts of data, the ability to extract useful information from raw data is becoming progressively more challenging. Large-scale data analytics offers challenges along multiple dimensions. It requires the ability to deal with large volumes of data from diverse sources; field systems that perform well with diverse data and scale extremely well with increasing data volumes; design and build efficient and effective predictive models that can accommodate diverse data types; and develop benchmarks for systems and analytical processes to enable comparisons among alternative approaches at different data volumes. The Workshop on Large-Scale Data Analytics (LSDA) will provide a venue for discussing the challenges and solutions in this area, including keynote presentations, lightning talks, and a group discussion.
SUMMARY:Workshop on Large-Scale Data Analytics (LSDA)
PRIORITY:3
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