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DTSTART:20141102T020000
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BEGIN:VEVENT
CREATED;VALUE=DATE-TIME:20141216T002303Z
DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20150107T210000
DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20150107T190000
DTSTAMP;VALUE=DATE-TIME:20141216T002303Z
LAST-MODIFIED;VALUE=DATE-TIME:20141216T002303Z
UID:http://calagator.org/events/1250467503
DESCRIPTION:&quot\;No talks. You may opt to take up to 60 seconds to comp
 lain about Big Data. One paper per month\, no obligation to read it.&quo
 t\;&#13\;\n&#13\;\nWe'll start by letting anyone who wants to take up to
  a minute to tell us what they've been doing with data lately.&#13\;\n&#
 13\;\nThis month's paper is [Large-Scale High-Precision Topic Modeling o
 n Twitter](http://www.eeshyang.com/papers/KDD14Jubjub.pdf) by Yang etal.
  Read it or don't - the goal is just to have something to start conversa
 tions. &quot\;Did you read the paper?&quot\; will do nicely. &#13\;\n&#1
 3\;\nMention @PDXBigData on Twitter with the link to the full paper to s
 uggest papers for future sessions.&#13\;\n&#13\;\nThere will be pizza.\n
 \nTags: math\, data\, statistics\, hadoop\, bigdata\n\nImported from: ht
 tp://calagator.org/events/1250467503
URL:https://twitter.com/pdxbigdata
SUMMARY:PDX Big Data Discussion Group
LOCATION:Yieldbot: 1033 SE Main St\, Suite #4\, Portland OR 97214 US
SEQUENCE:1
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