BEGIN:VCALENDAR PRODID;X-RICAL-TZSOURCE=TZINFO:-//Calagator//EN CALSCALE:GREGORIAN X-WR-CALNAME:Calagator METHOD:PUBLISH VERSION:2.0 BEGIN:VTIMEZONE TZID;X-RICAL-TZSOURCE=TZINFO:America/Los_Angeles BEGIN:STANDARD DTSTART:20141102T020000 RDATE:20141102T020000 RDATE:20151101T020000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD BEGIN:DAYLIGHT DTSTART:20150308T020000 RDATE:20150308T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20150211T182119Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20150304T203000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20150304T183000 DTSTAMP;VALUE=DATE-TIME:20150211T182119Z LAST-MODIFIED;VALUE=DATE-TIME:20150211T182119Z UID:http://calagator.org/events/1250467823 DESCRIPTION:"\;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\; \;\n \;\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. \;\n&# 13\;\nThis month's paper is [Resilient Distributed Datasets: A Fault-Tol erant Abstraction for In-Memory Cluster Computing](https://www.cs.berkel ey.edu/~matei/papers/2012/nsdi_spark.pdf) by Zaharia etal. Read it or do n't - the goal is just to have something to start conversations. "\; Did you read the paper?"\; will do nicely. \;\n \;\nMention @ PDXBigData on Twitter with the link to the full paper to suggest papers for future sessions. \;\n \;\nThere will be pizza.\n\nTags: math d ata statistics hadoop bigdata\n\nImported from: http://calagator.org/eve nts/1250467823 URL:https://twitter.com/pdxbigdata SUMMARY:PDX Big Data Discussion Group LOCATION:Urban Airship Inc: 1417 NW Everett St\, Suite 300\, Portland OR 97209 US SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20150522T220050Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20150616T203000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20150616T183000 DTSTAMP;VALUE=DATE-TIME:20150522T220050Z LAST-MODIFIED;VALUE=DATE-TIME:20150522T220050Z UID:http://calagator.org/events/1250468533 DESCRIPTION:"\;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\; \;\n \;\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. \;\n&# 13\;\nThis month's paper is [Computing Extremely Accurate Quantiles usin g t-Digests](https://github.com/tdunning/t-digest/blob/master/docs/t-dig est-paper/histo.pdf) by Dunning and Ertl. (click "\;raw"\; to do wnload) Read it or don't - the goal is just to have something to start c onversations. "\;Did you read the paper?"\; will do nicely. \;\n \;\nMention @PDXBigData on Twitter with the link to the full pap er to suggest papers for future sessions. \;\n \;\nThere will be f ood.\n\nTags: math data statistics hadoop bigdata\n\nImported from: http ://calagator.org/events/1250468533 URL:https://twitter.com/pdxbigdata SUMMARY:PDX Big Data Discussion Group LOCATION:Urban Airship Inc: 1417 NW Everett St\, Suite 300\, Portland OR 97209 US SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20150626T213024Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20150716T203000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20150716T183000 DTSTAMP;VALUE=DATE-TIME:20150626T213024Z LAST-MODIFIED;VALUE=DATE-TIME:20150626T213024Z UID:http://calagator.org/events/1250468692 DESCRIPTION:"\;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\; \;\n \;\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. \;\n&# 13\;\nThis month's paper is [Gaussian Process Latent Variable Models for \;\nVisualisation of High Dimensional Data](http://papers.nips.cc/pa per/2540-gaussian-process-latent-variable-models-for-visualisation-of-hi gh-dimensional-data.pdf) by Lawrence. Read it or don't - the goal is jus t to have something to start conversations. "\;Did you read the pape r?"\; will do nicely. \;\n \;\nMention @PDXBigData on Twitter with the link to the full paper to suggest papers for future sessions.& #13\;\n \;\nThere will be food.\n\nTags: math data statistics hadoop bigdata\n\nImported from: http://calagator.org/events/1250468692 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 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20150902T220523Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20150924T203000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20150924T183000 DTSTAMP;VALUE=DATE-TIME:20150902T220523Z LAST-MODIFIED;VALUE=DATE-TIME:20150902T220523Z UID:http://calagator.org/events/1250469016 DESCRIPTION:"\;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\; \;\n \;\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. \;\n&# 13\;\nThis month's paper is [Inferring Networks of Substitutable and Com plementary Products](http://cs.stanford.edu/people/jure/pubs/prodgraph-k dd15.pdf) by McAuley et al. Read it or don't - the goal is just to have something to start conversations. "\;Did you read the paper?"\; will do nicely. \;\n \;\nMention @PDXBigData on Twitter with the link to the full paper to suggest papers for future sessions. \;\n 3\;\nThere will be food.\n\nTags: math data statistics hadoop bigdata\n\ nImported from: http://calagator.org/events/1250469016 URL:https://twitter.com/pdxbigdata SUMMARY:PDX Big Data Discussion Group LOCATION:Jive Software: 915 SW Stark St.\, Suite 400\, Portland Oregon 97 205 United States SEQUENCE:2 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20151015T191128Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20151105T203000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20151105T183000 DTSTAMP;VALUE=DATE-TIME:20151015T191128Z LAST-MODIFIED;VALUE=DATE-TIME:20151015T191128Z UID:http://calagator.org/events/1250469241 DESCRIPTION:"\;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\; \;\n \;\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. \;\n&# 13\;\nThis month's paper is [Asymptotic Behavior and Distributional Limi ts of Preferential Attachment Graphs](http://research.microsoft.com/en-u s/um/people/jchayes/Papers/bslimit.pdf) by Berger et al. Read it or don' t - the goal is just to have something to start conversations. "\;Di d you read the paper?"\; will do nicely. \;\n \;\nMention @PD XBigData on Twitter with the link to the full paper to suggest papers fo r future sessions. \;\n \;\nThere will be food.\n\nTags: math data statistics hadoop bigdata\n\nImported from: http://calagator.org/events /1250469241 URL:https://twitter.com/pdxbigdata SUMMARY:PDX Big Data Discussion Group LOCATION:BigTable: 3616 SE Knapp St\, Portland OR 97202 United States SEQUENCE:1 END:VEVENT BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20151116T195956Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20151203T203000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20151203T183000 DTSTAMP;VALUE=DATE-TIME:20151116T195956Z LAST-MODIFIED;VALUE=DATE-TIME:20151116T195956Z UID:http://calagator.org/events/1250469410 DESCRIPTION:"\;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\; \;\n \;\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. \;\n&# 13\;\nThis month's paper is [Using Psycho-Acoustic Models and Self-Organ izing Maps to Create a Hierarchical Structuring of Music by Musical Styl es.](http://www.researchgate.net/publication/220722981_Using_Psycho-Acou stic_Models_and_Self-Organizing_Maps_to_Create_a_Hierarchical_Structurin g_of_Music_by_Musical_Styles) by Rauber et al. Read it or don't - the go al is just to have something to start conversations. "\;Did you read the paper?"\; will do nicely. \;\n \;\nMention @PDXBigData o n Twitter with the link to the full paper to suggest papers for future s essions. \;\n \;\nThere will be food.\n\nTags: math data statistic s hadoop bigdata\n\nImported from: http://calagator.org/events/125046941 0 URL:https://twitter.com/pdxbigdata SUMMARY:PDX Big Data Discussion Group LOCATION:Urban Airship: 1225 West Burnside #401\, Portland OR 97209 us SEQUENCE:1 END:VEVENT END:VCALENDAR