Mining top-k sequential patterns in transaction database graphs
Publication
, Journal Article
Lei, M; Chu, L; Wang, Z; Pei, J; He, C; Zhang, X; Fang, B
Published in: World Wide Web
2020
Duke Scholars
Published In
World Wide Web
Publication Date
2020
Volume
23
Start / End Page
103 / 130
Publisher
Springer US
Related Subject Headings
- Information Systems
- 46 Information and computing sciences
- 0806 Information Systems
- 0805 Distributed Computing
- 0804 Data Format
Citation
APA
Chicago
ICMJE
MLA
NLM
Lei, M., Chu, L., Wang, Z., Pei, J., He, C., Zhang, X., & Fang, B. (2020). Mining top-k sequential patterns in transaction database graphs. World Wide Web, 23, 103–130.
Lei, Mingtao, Lingyang Chu, Zhefeng Wang, Jian Pei, Caifeng He, Xi Zhang, and Binxing Fang. “Mining top-k sequential patterns in transaction database graphs.” World Wide Web 23 (2020): 103–30.
Lei M, Chu L, Wang Z, Pei J, He C, Zhang X, et al. Mining top-k sequential patterns in transaction database graphs. World Wide Web. 2020;23:103–30.
Lei, Mingtao, et al. “Mining top-k sequential patterns in transaction database graphs.” World Wide Web, vol. 23, Springer US, 2020, pp. 103–30.
Lei M, Chu L, Wang Z, Pei J, He C, Zhang X, Fang B. Mining top-k sequential patterns in transaction database graphs. World Wide Web. Springer US; 2020;23:103–130.
Published In
World Wide Web
Publication Date
2020
Volume
23
Start / End Page
103 / 130
Publisher
Springer US
Related Subject Headings
- Information Systems
- 46 Information and computing sciences
- 0806 Information Systems
- 0805 Distributed Computing
- 0804 Data Format