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DTSTART:20130310T020000
RDATE:20130310T020000
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BEGIN:VEVENT
CREATED;VALUE=DATE-TIME:20130625T015551Z
DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20130718T210000
DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20130718T190000
DTSTAMP;VALUE=DATE-TIME:20130625T015551Z
LAST-MODIFIED;VALUE=DATE-TIME:20130625T015551Z
UID:http://calagator.org/events/1250464425
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 [A time-efficient\, linear-space local simil
 arity algorithm](http://www.sciencedirect.com/science/article/pii/019688
 589190017D) by Huang and Miller. Read it or don't - the goal is just to 
 have something to start conversations. &quot\;Did you read the paper?&qu
 ot\; will do nicely. &#13\;\n&#13\;\nMention @PDXBigData on Twitter with
  the link to the full paper to suggest papers for future sessions.\n\nTa
 gs: math\, data\, statistics\, hadoop\, bigdata\n\nImported from: http:/
 /calagator.org/events/1250464425
URL:https://twitter.com/pdxbigdata
SUMMARY:PDX Big Data Discussion Group
SEQUENCE:1
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