Effectiveness of similarity measures in classification of time series data with intrinsic and extrinsic variability

Shreeya Sengupta, Piyush Ojha, Hui Wang, William Blackburn

Research output: Contribution to journal › Article

Original language	English
Pages (from-to)	318-337
Journal	International Journal of Applied Pattern Recognition
Volume	1
Issue number	4
DOIs	https://doi.org/10.1504/IJAPR.2014.068326
Publication status	Published - 2014

Cite this

@article{0dccfae6934646e5bb13c5cc66c460a1,

title = "Effectiveness of similarity measures in classification of time series data with intrinsic and extrinsic variability",

keywords = "similarity, time series, intrinsic and extrinsic variability",

author = "Shreeya Sengupta and Piyush Ojha and Hui Wang and William Blackburn",

year = "2014",

doi = "10.1504/IJAPR.2014.068326",

language = "English",

volume = "1",

pages = "318--337",

journal = "International Journal of Applied Pattern Recognition",

issn = "2049-887X",

publisher = "Inderscience Publishers",

number = "4",

}

TY - JOUR

T1 - Effectiveness of similarity measures in classification of time series data with intrinsic and extrinsic variability

AU - Sengupta, Shreeya

AU - Ojha, Piyush

AU - Wang, Hui

AU - Blackburn, William

PY - 2014

Y1 - 2014

KW - similarity

KW - time series

KW - intrinsic and extrinsic variability

U2 - 10.1504/IJAPR.2014.068326

DO - 10.1504/IJAPR.2014.068326

M3 - Article

VL - 1

SP - 318

EP - 337

JO - International Journal of Applied Pattern Recognition

JF - International Journal of Applied Pattern Recognition

SN - 2049-887X

IS - 4

ER -