Anomaly detection in data streams: The petrol station simulator

Anna Gorawska; Krzysztof Pasterak

doi:10.1007/978-3-319-34099-9_57

Anomaly detection in data streams: The petrol station simulator

Katedra Informatyki Stosowanej (RAU/RAU7)

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

3 Cytowania z bazy Scopus

Abstrakt

Developing anomaly detection systems requires diverse data for training and testing purposes. Real measurements are not necessarily reliable at this stage because it is almost impossible to find a diverse training set with exactly known characteristics. The petrol station simulator was designed to generate measurements that mimic real petrol station readings. The simulator produces datasets with exactly specified anomalies to be detected via anomaly detection system. The paper introduces foundations of the simulator with results. The discussion section presents future work in the area of stream data extraction and materialization in the Stream Data Warehouse.

Język oryginału	angielski
Tytuł publikacji goszczącej	Beyond Databases, Architectures and Structures
Podtytuł publikacji goszczącej	Advanced Technologies for Data Mining and Knowledge Discovery - 12th International Conference, BDAS 2016, Proceedings
Redaktorzy	Stanislaw Kozielski, Dariusz Mrozek, Pawel Kasprowski, Bozena Malysiak-Mrozek, Daniel Kostrzewa
Wydawca	Springer Verlag
Strony	727-736
Liczba stron	10
ISBN (drukowany)	9783319340982
Identyfikatory DOI	https://doi.org/10.1007/978-3-319-34099-9_57
Status publikacji	Opublikowano - 2016
Wydarzenie	12th International Conference on Beyond Databases, Architectures and Structures, BDAS 2016 - Ustron, Polska Czas trwania: 31 maj 2016 → 3 cze 2016

Seria publikacji

Nazwa	Communications in Computer and Information Science
Tom	613
ISSN (drukowany)	1865-0929

Konferencja

Konferencja	12th International Conference on Beyond Databases, Architectures and Structures, BDAS 2016
Kraj/Terytorium	Polska
Miejscowość	Ustron
Okres	31/05/16 → 3/06/16

Obszary tematyczne ASJC Scopus

Informatyka ogólna
Matematyka ogólna

Uzyskaj dostęp do dokumentu

10.1007/978-3-319-34099-9_57

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

Gorawska, A., & Pasterak, K. (2016). Anomaly detection in data streams: The petrol station simulator. W S. Kozielski, D. Mrozek, P. Kasprowski, B. Malysiak-Mrozek, & D. Kostrzewa (Red.), Beyond Databases, Architectures and Structures: Advanced Technologies for Data Mining and Knowledge Discovery - 12th International Conference, BDAS 2016, Proceedings (str. 727-736). (Communications in Computer and Information Science; Tom 613). Springer Verlag. https://doi.org/10.1007/978-3-319-34099-9_57

Gorawska, Anna ; Pasterak, Krzysztof. / Anomaly detection in data streams : The petrol station simulator. Beyond Databases, Architectures and Structures: Advanced Technologies for Data Mining and Knowledge Discovery - 12th International Conference, BDAS 2016, Proceedings. redaktor / Stanislaw Kozielski ; Dariusz Mrozek ; Pawel Kasprowski ; Bozena Malysiak-Mrozek ; Daniel Kostrzewa. Springer Verlag, 2016. str. 727-736 (Communications in Computer and Information Science).

@inproceedings{45039cb076f743f4949da6d773d97aae,

title = "Anomaly detection in data streams: The petrol station simulator",

abstract = "Developing anomaly detection systems requires diverse data for training and testing purposes. Real measurements are not necessarily reliable at this stage because it is almost impossible to find a diverse training set with exactly known characteristics. The petrol station simulator was designed to generate measurements that mimic real petrol station readings. The simulator produces datasets with exactly specified anomalies to be detected via anomaly detection system. The paper introduces foundations of the simulator with results. The discussion section presents future work in the area of stream data extraction and materialization in the Stream Data Warehouse.",

keywords = "Data stream, Fuel leak detection, Petrol station, Petrol station simulator, Sensor miscalibration, Statistical inventory reconciliation, Stream Data Warehouse, Stream data extraction",

author = "Anna Gorawska and Krzysztof Pasterak",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 12th International Conference on Beyond Databases, Architectures and Structures, BDAS 2016 ; Conference date: 31-05-2016 Through 03-06-2016",

year = "2016",

doi = "10.1007/978-3-319-34099-9\_57",

language = "English",

isbn = "9783319340982",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "727--736",

editor = "Stanislaw Kozielski and Dariusz Mrozek and Pawel Kasprowski and Bozena Malysiak-Mrozek and Daniel Kostrzewa",

booktitle = "Beyond Databases, Architectures and Structures",

address = "Germany",

}

Gorawska, A & Pasterak, K 2016, Anomaly detection in data streams: The petrol station simulator. w S Kozielski, D Mrozek, P Kasprowski, B Malysiak-Mrozek & D Kostrzewa (red), Beyond Databases, Architectures and Structures: Advanced Technologies for Data Mining and Knowledge Discovery - 12th International Conference, BDAS 2016, Proceedings. Communications in Computer and Information Science, tom 613, Springer Verlag, str. 727-736, 12th International Conference on Beyond Databases, Architectures and Structures, BDAS 2016, Ustron, Polska, 31/05/16. https://doi.org/10.1007/978-3-319-34099-9_57

Anomaly detection in data streams: The petrol station simulator. / Gorawska, Anna ; Pasterak, Krzysztof.
Beyond Databases, Architectures and Structures: Advanced Technologies for Data Mining and Knowledge Discovery - 12th International Conference, BDAS 2016, Proceedings. red. / Stanislaw Kozielski; Dariusz Mrozek; Pawel Kasprowski; Bozena Malysiak-Mrozek; Daniel Kostrzewa. Springer Verlag, 2016. str. 727-736 (Communications in Computer and Information Science; Tom 613).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Anomaly detection in data streams

T2 - 12th International Conference on Beyond Databases, Architectures and Structures, BDAS 2016

AU - Gorawska, Anna

AU - Pasterak, Krzysztof

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Developing anomaly detection systems requires diverse data for training and testing purposes. Real measurements are not necessarily reliable at this stage because it is almost impossible to find a diverse training set with exactly known characteristics. The petrol station simulator was designed to generate measurements that mimic real petrol station readings. The simulator produces datasets with exactly specified anomalies to be detected via anomaly detection system. The paper introduces foundations of the simulator with results. The discussion section presents future work in the area of stream data extraction and materialization in the Stream Data Warehouse.

AB - Developing anomaly detection systems requires diverse data for training and testing purposes. Real measurements are not necessarily reliable at this stage because it is almost impossible to find a diverse training set with exactly known characteristics. The petrol station simulator was designed to generate measurements that mimic real petrol station readings. The simulator produces datasets with exactly specified anomalies to be detected via anomaly detection system. The paper introduces foundations of the simulator with results. The discussion section presents future work in the area of stream data extraction and materialization in the Stream Data Warehouse.

KW - Data stream

KW - Fuel leak detection

KW - Petrol station

KW - Petrol station simulator

KW - Sensor miscalibration

KW - Statistical inventory reconciliation

KW - Stream Data Warehouse

KW - Stream data extraction

UR - https://www.scopus.com/pages/publications/84964703282

U2 - 10.1007/978-3-319-34099-9_57

DO - 10.1007/978-3-319-34099-9_57

M3 - Conference contribution

AN - SCOPUS:84964703282

SN - 9783319340982

T3 - Communications in Computer and Information Science

SP - 727

EP - 736

BT - Beyond Databases, Architectures and Structures

A2 - Kozielski, Stanislaw

A2 - Mrozek, Dariusz

A2 - Kasprowski, Pawel

A2 - Malysiak-Mrozek, Bozena

A2 - Kostrzewa, Daniel

PB - Springer Verlag

Y2 - 31 May 2016 through 3 June 2016

ER -

Gorawska A , Pasterak K. Anomaly detection in data streams: The petrol station simulator. W Kozielski S, Mrozek D, Kasprowski P, Malysiak-Mrozek B, Kostrzewa D, redaktorzy, Beyond Databases, Architectures and Structures: Advanced Technologies for Data Mining and Knowledge Discovery - 12th International Conference, BDAS 2016, Proceedings. Springer Verlag. 2016. str. 727-736. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-34099-9_57

Anomaly detection in data streams: The petrol station simulator

Abstrakt

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Konferencja

Obszary tematyczne ASJC Scopus

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