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Distance Queries from Sampled Data: Accurate and Efficient
Published on Oct 07, 20141476 Views
Distance queries are a basic tool in data analysis. They are used for detection and localization of change for the purpose of anomaly detection, monitoring, or planning. Distance queries are particula
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Chapter list
Distance Queries from Sampled Data: Accurate and Efficient00:00
Sampling in Data Analysis00:04
Data matrix: keys × instances01:39
Example: Social/Communication data02:44
Data from multiple days03:13
Matrix view keys × instances03:27
Common Queries03:41
Domain (subset) Queries - 105:39
Domain (subset) Queries - 206:03
Horvitz Thompson Estimator (1952) for Domain queries06:29
HT estimator for Domain Queries08:21
Distance Queries - 109:31
Distance Queries - 209:46
Distance Queries - 310:04
Distance Queries - 410:42
Distance Estimators11:19
Sampling schemes12:28
Samples of multiple instances (days)13:09
Coordinated Sampling of Instances13:54
Independent Sampling of Instances14:22
Our Estimators (coordinated samples)14:42
L1 distance from PPS samples15:46
L2 2 distance from PPS samples15:54
Summary16:25