Discovering relationship patterns among associated temporal event sequences

Chao Han; Lei Duan; Zhangxi Lin; Ruiqi Qin; Peng Zhang; Jyrki Nummenmaa

doi:10.1007/978-3-030-18576-3_7

Discovering relationship patterns among associated temporal event sequences

Chao Han, Lei Duan, Zhangxi Lin, Ruiqi Qin, Peng Zhang, Jyrki Nummenmaa

Computing Sciences

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

2 Citations (Scopus)

Original language	English
Title of host publication	Database Systems for Advanced Applications : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part I
Editors	Guoliang Li
Place of Publication	Cham
Publisher	Springer
Pages	107-123
ISBN (Print)	978-3-030-18576-3
DOIs	https://doi.org/10.1007/978-3-030-18576-3_7
Publication status	Published - 2019
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	11446
ISSN (Print)	1611-3349

Conference

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

Keywords

Contrast sequence data mining
Relationship pattern
Temporal event sequence

Publication forum classification

Publication forum level 1

Access to Document

10.1007/978-3-030-18576-3_7

Cite this

Han, C., Duan, L., Lin, Z., Qin, R., Zhang, P., & Nummenmaa, J. (2019). Discovering relationship patterns among associated temporal event sequences. In G. Li (Ed.), Database Systems for Advanced Applications : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part I (pp. 107-123). (Lecture notes in computer science; No. 11446). Springer. https://doi.org/10.1007/978-3-030-18576-3_7

Han, Chao ; Duan, Lei ; Lin, Zhangxi et al. / Discovering relationship patterns among associated temporal event sequences. Database Systems for Advanced Applications : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part I. editor / Guoliang Li. Cham : Springer, 2019. pp. 107-123 (Lecture notes in computer science; 11446).

@inproceedings{a2e1fbc704c24d4fa6a0920f4b2c890e,

title = "Discovering relationship patterns among associated temporal event sequences",

keywords = "Contrast sequence data mining, Relationship pattern, Temporal event sequence, Contrast sequence data mining, Relationship pattern, Temporal event sequence",

author = "Chao Han and Lei Duan and Zhangxi Lin and Ruiqi Qin and Peng Zhang and Jyrki Nummenmaa",

year = "2019",

doi = "10.1007/978-3-030-18576-3_7",

language = "English",

isbn = "978-3-030-18576-3",

series = "Lecture notes in computer science",

publisher = "Springer",

number = "11446",

pages = "107--123",

editor = "Guoliang Li",

booktitle = "Database Systems for Advanced Applications : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part I",

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

}

Han, C, Duan, L, Lin, Z, Qin, R, Zhang, P & Nummenmaa, J 2019, Discovering relationship patterns among associated temporal event sequences. in G Li (ed.), Database Systems for Advanced Applications : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part I. Lecture notes in computer science, no. 11446, Springer, Cham, pp. 107-123, International Conference on Database Systems for Advanced Applications, 1/01/19. https://doi.org/10.1007/978-3-030-18576-3_7

Discovering relationship patterns among associated temporal event sequences. / Han, Chao; Duan, Lei; Lin, Zhangxi et al.
Database Systems for Advanced Applications : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part I. ed. / Guoliang Li. Cham: Springer, 2019. p. 107-123 (Lecture notes in computer science; No. 11446).

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

TY - GEN

T1 - Discovering relationship patterns among associated temporal event sequences

AU - Han, Chao

AU - Duan, Lei

AU - Lin, Zhangxi

AU - Qin, Ruiqi

AU - Zhang, Peng

AU - Nummenmaa, Jyrki

PY - 2019

Y1 - 2019

KW - Contrast sequence data mining

KW - Relationship pattern

KW - Temporal event sequence

KW - Contrast sequence data mining

KW - Relationship pattern

KW - Temporal event sequence

U2 - 10.1007/978-3-030-18576-3_7

DO - 10.1007/978-3-030-18576-3_7

M3 - Conference contribution

SN - 978-3-030-18576-3

T3 - Lecture notes in computer science

SP - 107

EP - 123

BT - Database Systems for Advanced Applications : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part I

A2 - Li, Guoliang

PB - Springer

CY - Cham

T2 - International Conference on Database Systems for Advanced Applications

Y2 - 1 January 2019

ER -

Han C, Duan L, Lin Z, Qin R, Zhang P, Nummenmaa J. Discovering relationship patterns among associated temporal event sequences. In Li G, editor, Database Systems for Advanced Applications : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part I. Cham: Springer. 2019. p. 107-123. (Lecture notes in computer science; 11446). doi: 10.1007/978-3-030-18576-3_7