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ID: 7302.0, PIK / PIK Publications
Spiegel, S.; Marwan, N.
Time and Again: Time Series Mining via Recurrence Quantification Analysis
In: Machine Learning and Knowledge Discovery in Databases
Ed.: Berendt, B.; Bringmann, B.; Fromont, E.; Garriga, G.; Miettinen, P.; Tatti, N.; Tresp, V.
Cham : Springer
2016. 258-262 p.
Lecture Notes in Computer Science ; 9853
time series mining, recurrence quantification analysis
10.1007/978-3-319-46131-1_30
Doctype: Article in book
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ID: 7205.0, PIK / PIK Publications , full text not public
Spiegel, S.; Schultz, D.; Marwan, N.
Approximate Recurrence Quantification Analysis (aRQA) in Code of Best Practice
In: Recurrence Plots and Their Quantifications
Ed.: Webber, C. L.; Ioana, C.; Marwan, N.
Cham : Springer
2016. 113-136 p.
Springer Proceedings in Physics ; 180
10.1007/978-3-319-29922-8_6
Doctype: Article in book
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ID: 6996.0, PIK / PIK Publications
Schultz, D.; Spiegel, S.; Marwan, N.; Albayrak, S.
Approximation of diagonal line based measures in recurrence quantification analysis
In: Physics Letters A, 379 , 14-15
2015. 997-1011 p.
10.1016/j.physleta.2015.01.033
Doctype: Article (ISI journal)
6996oa.pdf (5.66 Mb)
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