OpenAlex | Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series

Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series

Work

Year: 2014

Type: article

Abstract: Many algorithms for data mining or indexing time series data do not operate directly on the raw data, but instead they use alternative representations that include transforms, quantization, approximat... more

Source: Data Mining and Knowledge Discovery

Authors Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi +1 more

Institutions University of California, Riverside, General Electric (United States)

Cites: 57

Cited by: 20

Related to: 10

FWCI: 1.114

Citation percentile (by year/subfield): 82.27

Topic: Time Series Analysis and Forecasting

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Sustainable Development Goal Quality education

Open Access status: hybrid

APC paid (est): $2,990