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TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20280312T030000 RDATE:20281105T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20290311T030000 RDATE:20291104T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20300310T030000 RDATE:20301103T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20310309T030000 RDATE:20311102T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20320314T030000 RDATE:20321107T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20330313T030000 RDATE:20331106T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20340312T030000 RDATE:20341105T010000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 TZNAME:America/New_York EDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:761b111df21b1e1aff72b922610bf204 CATEGORIES:Qualifying Exam CREATED:20190823T084023 SUMMARY:Approximation with Error Bounds in Spark LOCATION:CoRE A (301) DESCRIPTION;ENCODING=QUOTED-PRINTABLE:
Abstract :
We int roduce a sampling-based approximation framework for Spark, and show how mul ti-stage cluster sampling theories with population estimation techniques ca n be used to estimate error bounds for the approximate computations. We als o show how adaptive stratified reservoir sampling can be used to avoid (or reduce) key losses in the final output. We evaluate a prototype implementat ion called ApproxSpark and our results show that (i) partition sampling can lead to greater reduction in execution time than data item sampling but le ad to significantly larger error bounds (ii) stratified sampling reduces ke y loss and leads to more consistent error bounds across keys.
DTSTAMP:20240329T021206Z DTSTART;TZID=America/New_York:20190221T130000 SEQUENCE:0 TRANSP:OPAQUE END:VEVENT END:VCALENDAR