Detection and explanation of anomalies in real-time gross settlement systems by lossy data compression

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Original languageEnglish
Title of host publicationtba
Place of PublicationHeidelberg
PublisherSpringer Verlag
Publication statusAccepted/In press - 2018

Publication series

NameLecture Notes in Computer Science

Cite this

Triepels, R., Daniels, H., & Heijmans, R. (Accepted/In press). Detection and explanation of anomalies in real-time gross settlement systems by lossy data compression. In tba (Lecture Notes in Computer Science). Heidelberg: Springer Verlag.
Triepels, Ron ; Daniels, Hennie ; Heijmans, R. / Detection and explanation of anomalies in real-time gross settlement systems by lossy data compression. tba. Heidelberg : Springer Verlag, 2018. (Lecture Notes in Computer Science).
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language = "English",
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Triepels, R, Daniels, H & Heijmans, R 2018, Detection and explanation of anomalies in real-time gross settlement systems by lossy data compression. in tba. Lecture Notes in Computer Science, Springer Verlag, Heidelberg.

Detection and explanation of anomalies in real-time gross settlement systems by lossy data compression. / Triepels, Ron; Daniels, Hennie; Heijmans, R.

tba. Heidelberg : Springer Verlag, 2018. (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

TY - CHAP

T1 - Detection and explanation of anomalies in real-time gross settlement systems by lossy data compression

AU - Triepels, Ron

AU - Daniels, Hennie

AU - Heijmans, R.

PY - 2018

Y1 - 2018

M3 - Chapter

T3 - Lecture Notes in Computer Science

BT - tba

PB - Springer Verlag

CY - Heidelberg

ER -

Triepels R, Daniels H, Heijmans R. Detection and explanation of anomalies in real-time gross settlement systems by lossy data compression. In tba. Heidelberg: Springer Verlag. 2018. (Lecture Notes in Computer Science).