Class-based outlier detection: Staying zombies or awaiting for resurrection?

Leona Nezvalová; Luboš Popelínský; Luis Torgo; Karel Vaculík

doi:10.1007/978-3-319-24465-5_17

Class-based outlier detection: Staying zombies or awaiting for resurrection?

Leona Nezvalová, Luboš Popelínský, Luis Torgo, Karel Vaculík

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Advances in Intelligent Data Analysis XIV - 14th International Symposium, IDA 2015, Proceedings
Editors	Tijl De Bie, Matthijs van Leeuwen, Elisa Fromont
Publisher	Springer Verlag
Pages	193-204
Number of pages	12
ISBN (Print)	9783319244648
DOIs	https://doi.org/10.1007/978-3-319-24465-5_17
Publication status	Published - 2015
Externally published	Yes
Event	14th International Symposium on Intelligent Data Analysis, IDA 2015 - Saint Etienne, France Duration: Oct 22 2015 → Oct 24 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9385
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Symposium on Intelligent Data Analysis, IDA 2015
Country/Territory	France
City	Saint Etienne
Period	10/22/15 → 10/24/15

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-24465-5_17

Cite this

Nezvalová, L., Popelínský, L., Torgo, L., & Vaculík, K. (2015). Class-based outlier detection: Staying zombies or awaiting for resurrection? In T. De Bie, M. van Leeuwen, & E. Fromont (Eds.), Advances in Intelligent Data Analysis XIV - 14th International Symposium, IDA 2015, Proceedings (pp. 193-204). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9385). Springer Verlag. https://doi.org/10.1007/978-3-319-24465-5_17

Class-based outlier detection: Staying zombies or awaiting for resurrection? / Nezvalová, Leona; Popelínský, Luboš; Torgo, Luis et al.
Advances in Intelligent Data Analysis XIV - 14th International Symposium, IDA 2015, Proceedings. ed. / Tijl De Bie; Matthijs van Leeuwen; Elisa Fromont. Springer Verlag, 2015. p. 193-204 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9385).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nezvalová, L, Popelínský, L, Torgo, L & Vaculík, K 2015, Class-based outlier detection: Staying zombies or awaiting for resurrection? in T De Bie, M van Leeuwen & E Fromont (eds), Advances in Intelligent Data Analysis XIV - 14th International Symposium, IDA 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9385, Springer Verlag, pp. 193-204, 14th International Symposium on Intelligent Data Analysis, IDA 2015, Saint Etienne, France, 10/22/15. https://doi.org/10.1007/978-3-319-24465-5_17

Nezvalová L, Popelínský L, Torgo L, Vaculík K. Class-based outlier detection: Staying zombies or awaiting for resurrection? In De Bie T, van Leeuwen M, Fromont E, editors, Advances in Intelligent Data Analysis XIV - 14th International Symposium, IDA 2015, Proceedings. Springer Verlag. 2015. p. 193-204. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-24465-5_17

Nezvalová, Leona ; Popelínský, Luboš ; Torgo, Luis et al. / Class-based outlier detection : Staying zombies or awaiting for resurrection?. Advances in Intelligent Data Analysis XIV - 14th International Symposium, IDA 2015, Proceedings. editor / Tijl De Bie ; Matthijs van Leeuwen ; Elisa Fromont. Springer Verlag, 2015. pp. 193-204 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Class-based outlier detection: Staying zombies or awaiting for resurrection?

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