Java Sorting Programs
Paaßen B (2016)
Bielefeld University.
Datenpublikation
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Einrichtung
Abstract / Bemerkung
This is a dataset of 126 Java computer programs, all sorting an array of integers in ascending order. The programs have been gathered from the web in 2015 as part of the DFG funded project _Learning Feedback for Dynamic Tutoring Systems_ (FIT) with grant number HA 2719/6-1. It is meant as a benchmark dataset for methods working on clustering and/or classification of structured data (sequences, trees or graphs). For copyright reasons, we can not provide the source code directly. Instead, this dataset contains meta data about the data points as well as pre-calculated distance matrices.
Stichworte
Java programs
Erscheinungsjahr
2016
Copyright und Lizenzen
Page URI
https://pub.uni-bielefeld.de/record/2900684
Zitieren
Paaßen B. Java Sorting Programs. Bielefeld University; 2016.
Paaßen, B. (2016). Java Sorting Programs. Bielefeld University. doi:10.4119/unibi/2900684
Paaßen, Benjamin. 2016. Java Sorting Programs. Bielefeld University.
Paaßen, B. (2016). Java Sorting Programs. Bielefeld University.
Paaßen, B., 2016. Java Sorting Programs, Bielefeld University.
B. Paaßen, Java Sorting Programs, Bielefeld University, 2016.
Paaßen, B.: Java Sorting Programs. Bielefeld University (2016).
Paaßen, Benjamin. Java Sorting Programs. Bielefeld University, 2016.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Open Database License (ODbL) v1.0:
Volltext(e)
Name
Sorting.zip
199.86 KB
Access Level
Open Access
Zuletzt Hochgeladen
2019-09-25T06:45:10Z
MD5 Prüfsumme
be6a5d70acfb8dbc26673fa5bac2a5e5
Name
Sorting.zip
229.07 KB
Access Level
Open Access
Zuletzt Hochgeladen
2019-09-25T06:45:10Z
MD5 Prüfsumme
be6a5d70acfb8dbc26673fa5bac2a5e5
Material in PUB:
Wird zitiert von
Gaussian process prediction for time series of structured data
Paaßen B, Göpfert C, Hammer B (2016)
In: Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Louvain-la-Neuve: Ciaco - i6doc.com: 41--46.
Paaßen B, Göpfert C, Hammer B (2016)
In: Proceedings of the ESANN, 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); Louvain-la-Neuve: Ciaco - i6doc.com: 41--46.
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Adaptive structure metrics for automated feedback provision in Java programming
Paaßen B, Mokbel B, Hammer B (2015)
In: Proceedings of the ESANN, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); 307-312.
Paaßen B, Mokbel B, Hammer B (2015)
In: Proceedings of the ESANN, 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen M (Ed); 307-312.
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Metric learning for sequences in relational LVQ
Mokbel B, Paaßen B, Schleif F-M, Hammer B (2015)
Neurocomputing 169(SI): 306-322.
Mokbel B, Paaßen B, Schleif F-M, Hammer B (2015)
Neurocomputing 169(SI): 306-322.
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Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming
Paaßen B, Jensen J, Hammer B (2016)
In: Proceedings of the 9th International Conference on Educational Data Mining. Barnes T, Chi M, Feng M (Eds); Raleigh, North Carolina, USA: International Educational Datamining Society: 183-190.
Paaßen B, Jensen J, Hammer B (2016)
In: Proceedings of the 9th International Conference on Educational Data Mining. Barnes T, Chi M, Feng M (Eds); Raleigh, North Carolina, USA: International Educational Datamining Society: 183-190.
Wird zitiert von
Adaptive structure metrics for automated feedback provision in intelligent tutoring systems
Paaßen B, Mokbel B, Hammer B (2016)
Neurocomputing 192(SI): 3-13.
Paaßen B, Mokbel B, Hammer B (2016)
Neurocomputing 192(SI): 3-13.
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