Outlying sequence detection in large data sets: A data-driven approach
Outliers refer to observations that do not conform to the expected patterns in high-
dimensional data sets. When such outliers signify risks (eg, in fraud detection) or …
dimensional data sets. When such outliers signify risks (eg, in fraud detection) or …
Outlying Sequence Detection in Large Data Sets: A data-driven approach
A Tajer, VV Veeravalli, HV Poor - IEEE Signal Processing Magazine, 2014 - infona.pl
Outliers refer to observations that do not conform to the expected patterns in high-
dimensional data sets. When such outliers signify risks (eg, in fraud detection) or …
dimensional data sets. When such outliers signify risks (eg, in fraud detection) or …
[PDF][PDF] Outlying Sequence Detection in Large Data Sets
2014 - sites.ecse.rpi.edu
Advances in data acquisition and high-dimensional information processing are rapidly
transforming various technological, social, and economic domains, including the Internet …
transforming various technological, social, and economic domains, including the Internet …
Outlying sequence detection in large data sets: A data-driven approach
A Tajer, VV Veeravalli, HV Poor - IEEE Signal Processing …, 2014 - collaborate.princeton.edu
Outliers refer to observations that do not conform to the expected patterns in high-
dimensional data sets. When such outliers signify risks (eg, in fraud detection) or …
dimensional data sets. When such outliers signify risks (eg, in fraud detection) or …
Outlying Sequence Detection in Large Data Sets: A data-driven approach
A Tajer, VV Veeravalli, HV Poor - IEEE Signal Processing Magazine, 2014 - par.nsf.gov
Advances in data acquisition and high-dimensional information processing are rapidly
transforming various technological, social, and economic domains, including the Internet …
transforming various technological, social, and economic domains, including the Internet …
[引用][C] Outlying Sequence Detection in Large Data Sets: A data-driven approach
A Tajer, VV Veeravalli, HV Poor - IEEE Signal Processing …, 2014 - ui.adsabs.harvard.edu
Outlying Sequence Detection in Large Data Sets: A data-driven approach - NASA/ADS Now on
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Outlying sequence detection in large data sets: A data-driven approach
A Tajer, VV Veeravalli, HV Poor - IEEE Signal Processing …, 2014 - experts.illinois.edu
Outliers refer to observations that do not conform to the expected patterns in high-
dimensional data sets. When such outliers signify risks (eg, in fraud detection) or …
dimensional data sets. When such outliers signify risks (eg, in fraud detection) or …