Mining top-k distinguishing temporal sequential patterns from event sequences

L Duan; L Yan; G Dong; J Nummenmaa; H Yang

doi:10.1007/978-3-319-55699-4_15

Mining top-k distinguishing temporal sequential patterns from event sequences

L Duan, L Yan, G Dong, J Nummenmaa, H Yang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

Original language	English
Title of host publication	Database Systems for Advanced Applications 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part II
Place of Publication	Cham
Publisher	Springer International Publishing AG
Pages	235-250
ISBN (Print)	978-3-319-55698-7
DOIs	https://doi.org/10.1007/978-3-319-55699-4_15
Publication status	Published - 2017
Publication type	A4 Article in conference proceedings
Event	International Conference on Database Systems for Advanced Applications - Duration: 1 Jan 2019 → …

Publication series

Name	Lecture Notes in Computer Science
Number	10178
ISSN (Print)	0302-9743

Conference

Conference	International Conference on Database Systems for Advanced Applications
Period	1/01/19 → …

Keywords

contrast mining
sequential pattern
temporal event

Publication forum classification

Publication forum level 1

Access to Document

10.1007/978-3-319-55699-4_15

Cite this

Duan, L., Yan, L., Dong, G., Nummenmaa, J., & Yang, H. (2017). Mining top-k distinguishing temporal sequential patterns from event sequences. In Database Systems for Advanced Applications 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part II (pp. 235-250). (Lecture Notes in Computer Science; No. 10178). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-55699-4_15

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title = "Mining top-k distinguishing temporal sequential patterns from event sequences",

keywords = "contrast mining, sequential pattern, temporal event, contrast mining, sequential pattern, temporal event",

author = "L Duan and L Yan and G Dong and J Nummenmaa and H Yang",

year = "2017",

doi = "10.1007/978-3-319-55699-4_15",

language = "English",

isbn = "978-3-319-55698-7",

series = "Lecture Notes in Computer Science",

publisher = "Springer International Publishing AG",

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pages = "235--250",

booktitle = "Database Systems for Advanced Applications 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part II",

address = "Switzerland",

note = "International Conference on Database Systems for Advanced Applications ; Conference date: 01-01-2019",

}

Duan, L, Yan, L, Dong, G, Nummenmaa, J & Yang, H 2017, Mining top-k distinguishing temporal sequential patterns from event sequences. in Database Systems for Advanced Applications 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part II. Lecture Notes in Computer Science, no. 10178, Springer International Publishing AG, Cham, pp. 235-250, International Conference on Database Systems for Advanced Applications, 1/01/19. https://doi.org/10.1007/978-3-319-55699-4_15

Mining top-k distinguishing temporal sequential patterns from event sequences. / Duan, L; Yan, L; Dong, G et al.
Database Systems for Advanced Applications 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part II. Cham: Springer International Publishing AG, 2017. p. 235-250 (Lecture Notes in Computer Science; No. 10178).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Mining top-k distinguishing temporal sequential patterns from event sequences

AU - Duan, L

AU - Yan, L

AU - Dong, G

AU - Nummenmaa, J

AU - Yang, H

PY - 2017

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KW - contrast mining

KW - sequential pattern

KW - temporal event

KW - contrast mining

KW - sequential pattern

KW - temporal event

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DO - 10.1007/978-3-319-55699-4_15

M3 - Conference contribution

SN - 978-3-319-55698-7

T3 - Lecture Notes in Computer Science

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EP - 250

BT - Database Systems for Advanced Applications 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part II

PB - Springer International Publishing AG

CY - Cham

T2 - International Conference on Database Systems for Advanced Applications

Y2 - 1 January 2019

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Duan L, Yan L, Dong G, Nummenmaa J, Yang H. Mining top-k distinguishing temporal sequential patterns from event sequences. In Database Systems for Advanced Applications 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part II. Cham: Springer International Publishing AG. 2017. p. 235-250. (Lecture Notes in Computer Science; 10178). doi: 10.1007/978-3-319-55699-4_15