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Detail publikace
ŠEBEK, M. ZENDULKA, J.
Originální název
Generator of Synthetic Datasets for Hierarchical Sequential Pattern Mining Evaluation
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
Evaluation is an important part of algorithm design. Algorithms are typically evaluated on real-world and synthetic datasets. Real-world datasets are appropriate for evaluation of algorithm properties in practice but it is difficult to change the dataset to have some particular statistics, e.g. number of input items. In contrast, generated synthetic dataset simply allows changing any of statistic property of the dataset with keeping all other statistic properties. In the paper, we present a procedure for generation of sequence databases with taxonomies for an evaluation of hierarchical sequential pattern mining algorithms.
Klíčová slova
Sequence pattern mining, synthetic dataset generators, taxonomy
Autoři
ŠEBEK, M.; ZENDULKA, J.
Rok RIV
2013
Vydáno
5. 11. 2013
Nakladatel
The University of Technology Košice
Místo
Košice
ISBN
978-80-8143-127-2
Kniha
Proceedings of the Twelfth International Conference on Informatics 2013
Strany od
289
Strany do
292
Strany počet
4
URL
https://www.fit.vut.cz/research/publication/10435/
BibTex
@inproceedings{BUT103555, author="Michal {Šebek} and Jaroslav {Zendulka}", title="Generator of Synthetic Datasets for Hierarchical Sequential Pattern Mining Evaluation", booktitle="Proceedings of the Twelfth International Conference on Informatics 2013", year="2013", pages="289--292", publisher="The University of Technology Košice", address="Košice", isbn="978-80-8143-127-2", url="https://www.fit.vut.cz/research/publication/10435/" }