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ACM Transactions on Knowledge Discovery from Data, 2018
Sequential pattern mining is used to find frequent data sequences over time. When sequential patterns are generated, the newly arriving patterns may not be identified as frequent sequential patterns due to the existence of old data and sequences. Progressive sequential pattern mining aims to find the most up-to-date sequential patterns given that ...
Bijay Prasad Jaysawal, Jen-Wei Huang
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Sequential pattern mining is used to find frequent data sequences over time. When sequential patterns are generated, the newly arriving patterns may not be identified as frequent sequential patterns due to the existence of old data and sequences. Progressive sequential pattern mining aims to find the most up-to-date sequential patterns given that ...
Bijay Prasad Jaysawal, Jen-Wei Huang
openaire +1 more source
2021
This chapter describes PSP measurements in various flows in a range of facilities. Both intensity-based and lifetime-based PSP measurements in high subsonic, transonic, and supersonic flows are first described since PSP is a more effective technique in these flows.
Tianshu Liu +4 more
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This chapter describes PSP measurements in various flows in a range of facilities. Both intensity-based and lifetime-based PSP measurements in high subsonic, transonic, and supersonic flows are first described since PSP is a more effective technique in these flows.
Tianshu Liu +4 more
openaire +1 more source
Measuring quality of life in PSP
Neurology, 2006To develop a new patient-reported outcome measure for progressive supranuclear palsy (PSP) and to test its psychometric properties.First, the authors generated a pool of potential scale items from in-depth patient interviews. Second, the authors administered these items, in the form of a questionnaire, to a sample of people with PSP and traditional ...
Schrag A +9 more
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