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Scaling Out Big Data Missing Value Imputations

Published on Oct 07, 20142414 Views

Christos Anagnostopoulos

Solving the missing-value (MV) problem with small estimation errors in big data environments is a notoriously resource-demanding task. As datasets and their user community continuously grow, the probl

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Data MiningKnowledge Extraction

Chapter list

Scaling out Big Data Missing Value Imputations00:00
Missing Data - 100:08
Missing Data - 200:31
Motivation - 101:05
Motivation - 201:38
Motivation - 302:07
Observation02:36
Idea No 1 - 102:59
Idea No 1 - 203:43
Idea No 204:48
Signature05:33
Cohort prediction06:08
Pythia algorithm07:08
Cost-aware Subset Selection algorithm07:40
Accuracy-aware Subset Selection algorithm08:02
Performance Metrics - 108:31
Performance Metrics - 209:09
Performance Metrics - 309:45
Thank you!10:20