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Abstract: Time-stamped data occur frequently in real-world databases. (Update)
Active bibliography (related documents): More All
6.8: Features for Learning Local Patterns in Time-Stamped Data - Morik, Köpcke (2005) (Correct)
0.8: The Representation Race - Preprocessing for Handling Time Phenomena - Morik (2000) (Correct)
0.4: Tailoring Representations to Different Requirements - Morik (Correct)
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0.6: Analysing Customer Churn in Insurance Data - A Case Study - Morik, Köpcke (2004) (Correct)
0.4: Detecting Interesting Instances - Morik (2002) (Correct)
0.4: Analysing Insurance Data or The Advantage of TF/IDF Features - Morik, Köpcke (Correct)
BibTeX entry: (Update)
@misc{ morik-features,
author = "Katharina Morik and Hanna Köpcke",
title = "Features for Learning Local Patterns in Time-Stamped Data",
url = "citeseer.ist.psu.edu/article/morik05features.html" }
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5 Detecting interesting instances - Morik - 2002
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A Model-Driven Runtime Environment for Web Applications - Haustein, Pleumann (2005) (Correct)
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