On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical  Demonstration

On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration (2002)

by Eamonn Keogh , Shruti Kasetty

Venue:	SIGKDD'02
Citations:	169 - 41 self

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Datum	Value	Source
TITLE	On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration	user correction
AUTHOR NAME	Eamonn Keogh	user correction
AUTHOR NAME	Shruti Kasetty	user correction
ABSTRACT	... mining time series data. Literally hundreds of papers have introduced new algorithms to index, classify, cluster and segment time series. In this work we make the following claim. Much of this work has very little utility because the contribution made (speed in the case of indexing, accuracy in the case of classification and clustering, model accuracy in the case of segmentation) offer an amount of "improvement" that would have been completely dwarfed by the variance that would have been observed by testing on many real world datasets, or the variance that would have been observed by changing minor (unstated) implementation details. To illustrate our point	user correction
YEAR	2002	INFERENCE
VENUE	SIGKDD'02	user correction
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	102--111	INFERENCE
VOLUME	7	INFERENCE
CITATIONS	63 found	ParsCit 1.0